What Jobs are available for AI Research in the United States?

Job Description

Job Description

This is a hybrid role based in Austin, TX, with offices in Central Austin.

Our health-tech client is seeking a highly skilled AI Front End Engineer to lead the implementation of an AI-First Development process, leveraging cutting-edge AI tools to dramatically increase productivity. You will be responsible for integrating AI tooling throughout the software development lifecycle, with a primary focus on React and Next.js applications. This is a front-and-center role for someone passionate about (and with experience) transforming front-end engineering with AI, driving both innovation and efficiency.

Key Responsibilities:

• Lead the adoption and integration of AI tools across all phases of front-end development, from ideation and requirements gathering to deployment and maintenance.
• Architect, develop, and optimize user interfaces using React and Next.js as core frameworks
• Prototype and implement AI-assisted workflows (e.g., for code generation, UI scaffolding, automated testing, debugging, and documentation)
• Mentor and upskill engineering teams in AI-first methodologies, including prompt engineering and best practices for collaborating with AI systems
• Collaborate with product managers, designers, and backend teams to ensure seamless integration of AI-driven features and workflows
• Continuously evaluate and integrate emerging AI tools to maintain a state-of-the-art development environment
• Oversee code reviews, refactoring, and optimization of both human- and AI-generated code to ensure maintainability, scalability, and performance

Required Skills & Experience:

• Expertise in React and Next.js, with a strong portfolio of shipped web applications

Deep understanding of AI tooling for front-end development, such as (These are just examples):

• GitHub Copilot, Cursor, Codeium, Tabnine (AI code assistants)
• Vercel v0, Locofy, or similar “Figma-to-code” tools
• AI-driven UI generators and prototyping tools (e.g., Galileo, Penpot AI)
• AI-based testing and QA automation (e.g., QA Wolf, Testim)
• LLMs for documentation and requirements (e.g., ChatGPT, Claude)
• Experience leading or mentoring engineering teams in adopting new technologies and workflows
• Strong communication and collaboration skills; ability to translate business requirements into technical solutions and explain AI-driven processes to non-technical stakeholders
• Proficiency in modern front-end tooling (e.g., Redux, Webpack, Babel, ESLint) and version control (Git)
• Familiarity with backend integration (RESTful APIs, GraphQL) and cloud platforms (AWS, Vercel)

Preferred Qualifications:

• Demonstrated success in AI-first or AI-native software environments.
• Experience with prompt engineering and customizing LLMs for developer workflows
• Track record of delivering significant productivity gains through automation or AI
• Understanding of data privacy, security, and compliance in AI-driven applications

What We Offer:

• Opportunity to define and implement the future of AI-powered front-end engineering.
• Creative freedom to experiment with and adopt the latest AI technologies.
• Competitive salary, benefits, and flexible work arrangements.
• A collaborative, forward-thinking team environment.

If you are passionate about redefining front-end development with AI and have a proven ability to lead teams through technological transformation, we want to hear from you.

#ZR

Job Description

Job Description

We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field
• 5+ years of experience, with at least 2 years in both deep learning and software engineering
• Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
• Experience with CNNs, LSTMs/RNNs, Transformers
• Strong math skills and Python proficiency
• Experience with C/C++

Preferred Skills & Experience:

• Master's or PhD in Computer Science, Engineering, or related field
• Experience in embedded or low-level programming
• Knowledge of CUDA/OpenGL
• Experience deploying neural networks in production
• Familiarity with model compression techniques like quantization, pruning, etc.

These are permanent full time remote positions.

Job Description

Job Description

Agility Robotics is a pioneer. Our robot, Digit, is the first to be sold into workplaces across the globe. Our team is differentiated by its expertise in imagining, engineering, and delivering robots with advanced mobility, dexterity, intelligence, and efficiency -- robots specifically designed to work alongside people, in spaces built for people. Every day, we break through engineering challenges and invent new solutions and capabilities that will one day make robots commonplace and approachable. This work is our passion and our responsibility: our mission is to make businesses more productive and people's lives more fulfilling.

About the Role

The AI innovation team at Agility works on building and deploying next-generation robot foundation models and end-to-end policies on humanoid robots. Your goal will be to develop and test cutting-edge methods for imitation learning and reinforcement learning on humanoid robots, in order to establish the techniques necessary for humanoid robots to perform different real-world tasks. You will work on a team, running experiments on humanoid robots, and will research and implement methods which can be transferred into production.

About The Work

• Design, train, and deploy robust policies for locomotion, manipulation, and dynamic interactions with the environment.
• Develop core reinforcement learning infrastructure, including scalable training pipelines and evaluation frameworks.
• Design and implement new simulation environments and tasks to support training and deployment of control policies.
• Develop, design, and test imitation learning methods
• Collaborate with Robotics Software and AI engineering teams to develop policies which can be transferred to production

About You

• 3+ years of experience developing and deploying learning-from-demonstration
• Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch.
• Experience with modern learning-from-demonstration tools like DiffusionPolicy
• Experience with robot data collection, training, and testing on hardware to perform manipulation tasks.
• Ability to work collaboratively in a fast-paced environment to deliver safe, high-quality software.

Bonus Qualifications

• Advanced degree (MS or PhD) in Robotics, Computer Science, or a related field.
• Publications in top ML or robotics conferences (e.g. NeurIPS, ICML, CoRL, RSS, ICRA).
• Familiarity with robot simulation environments (e.g. Mujoco, Isaac Sim) and sim-to-real

Job Description

Job Description

Working on a project basis (10-20 hours per week), the focus of this role is on adapting customer's contract review playbooks to our AI contract review technology. This involves:

• Drafting simple and clear legal language that captures the core concepts of a customer's playbook
• Breaking complex legal concepts down into individual concepts
• Turning legal rules and concepts into clear, concise sentences
• Drafting concise, plain-language sentences for redlines
• Testing and iterating to improve AI performance
• LLM prompt training and/or experience is a plus

Qualifications and Experience:

• JD and active membership in a US state bar
• 5+ years experience primarily focused on commercial contracting working on a range of common contracts (MSA, NDA, Contractor Agreements, etc.),
• Demonstrate a deep knowledge of commercial contracting with experience creating templates and playbooks
• Ability to write contract language and guidance that is clear and practical
• You have experience managing complex, document-centric projects
• Driven to set a high standard and continuously improve
• You are organized and have high attention to detail

Job Description

Job Description

ML/AI Research Engineer — Agentic AI Lab (Founding Team)

Location: San Francisco Bay Area
Type: Full-Time
Compensation: Competitive salary + meaningful equity (founding tier)

Backed by 8VC, we're building a world-class team to tackle one of the industry’s most critical infrastructure problems.

About the Role

We’re designing the future of enterprise AI infrastructure — grounded in agents, retrieval-augmented generation (RAG), knowledge graphs, and multi-tenant governance.

We’re looking for an ML/AI Research Engineer to join our AI Lab and lead the design, training, evaluation, and optimization of agent-native AI models. You'll work at the intersection of LLMs, vector search, graph reasoning, and reinforcement learning — building the intelligence layer that sits on top of our enterprise data fabric.

This isn’t a prompt engineer role. It’s full-cycle ML: from data curation and fine-tuning to evaluation, interpretability, and deployment — with cost-awareness, alignment, and agent coordination all in scope.

Core Responsibilities

• Fine-tune and evaluate open-source LLMs (e.g. LLaMA 3, Mistral, Falcon, Mixtral) for enterprise use cases with both structured and unstructured data

• Build and optimize RAG pipelines using LangChain, LangGraph, LlamaIndex, or Dust — integrated with our vector DBs and internal knowledge graph

• Train agent architectures (ReAct, AutoGPT, BabyAGI, OpenAgents) using enterprise task data

• Develop embedding-based memory and retrieval chains with token-efficient chunking strategies

• Create reinforcement learning pipelines to optimize agent behaviors (e.g. RLHF, DPO, PPO)

• Establish scalable evaluation harnesses for LLM and agent performance, including synthetic evals, trace capture, and explainability tools

• Contribute to model observability, drift detection, error classification, and alignment

• Optimize inference latency and GPU resource utilization across cloud and on-prem environments

Desired Experience

Model Training:

• Deep experience fine-tuning open-source LLMs using HuggingFace Transformers, DeepSpeed, vLLM, FSDP, LoRA/QLoRA

• Worked with both base and instruction-tuned models; familiar with SFT, RLHF, DPO pipelines

• Comfortable building and maintaining custom training datasets, filters, and eval splits

• Understand tradeoffs in batch size, token window, optimizer, precision (FP16, bfloat16), and quantization

RAG + Knowledge Graphs:

• Experience building enterprise-grade RAG pipelines integrated with real-time or contextual data

• Familiar with LangChain, LangGraph, LlamaIndex, and open-source vector DBs (Weaviate, Qdrant, FAISS)

• Experience grounding models with structured data (SQL, graph, metadata) + unstructured sources

• Bonus: Worked with Neo4j, Puppygraph, RDF, OWL, or other semantic modeling systems

Agent Intelligence:

• Experience training or customizing agent frameworks with multi-step reasoning and memory

• Understand common agent loop patterns (e.g. Plan→Act→Reflect), memory recall, and tools

• Familiar with self-correction, multi-agent communication, and agent ops logging

Optimization:

• Strong background in token cost optimization, chunking strategies, reranking (e.g. Cohere, Jina), compression, and retrieval latency tuning

• Experience running models under quantized (int4/int8) or multi-GPU settings with inference tuning (vLLM, TGI)

Preferred Tech Stack

• LLM Training & Inference : HuggingFace Transformers, DeepSpeed, vLLM, FlashAttention, FSDP, LoRA

• Agent Orchestration : LangChain, LangGraph, ReAct, OpenAgents, LlamaIndex

• Vector DBs : Weaviate, Qdrant, FAISS, Pinecone, Chroma

• Graph Knowledge Systems : Neo4j, Puppygraph, RDF, Gremlin, JSON-LD

• Storage & Access : Iceberg, DuckDB, Postgres, Parquet, Delta Lake

• Evaluation : OpenLLM Evals, Trulens, Ragas, LangSmith, Weight & Biases

• Compute : Ray, Kubernetes, TGI, Sagemaker, LambdaLabs, Modal

• Languages : Python (core), optionally Rust (for inference layers) or JS (for UX experimentation)

Soft Skills & Mindset

• Startup DNA: resourceful, fast-moving, and capable of working in ambiguity

• Deep curiosity about agent-based architectures and real-world enterprise complexity

• Comfortable owning model performance end-to-end: from dataset to deployment

• Strong instincts around explainability, safety, and continuous improvement

• Enjoy pair-designing with product and UX to shape capabilities, not just APIs

Why This Role Matters

This role is foundational to our thesis: that agents + enterprise data + knowledge modeling can create intelligent infrastructure for real-world, multi-billion-dollar workflows. Your work won’t be buried in research reports — it will be productionized and activated by hundreds of users and hundreds of thousands of decisions. If this is your dream role - we would love to hear from you.

Job Description

Job Description

Salary:

THE JOB

We are looking for AI R&D Engineers (12 positions) to join our team and contribute to cutting-edge research and development in artificial intelligence. This role will focus on developing, optimizing, and deploying AI algorithms across computer vision, multimodal perception, speech recognition and generation, and robotics applications. You will collaborate closely with hardware and software teams to ensure efficient end-to-end AI system performance.

THE DAY-TO-DAY

1. Research, design, and optimize AI algorithms in areas such as computer vision, multimodal perception, and speech processing.
2. Manage multimodal data acquisition (video, audio, sensor data, etc.), ensuring quality and synchronization.
3. Develop tools and workflows for data collection, labeling, cleaning, and validation to support model training and iteration.
4. Deploy, test, and integrate AI models into real-world applications based on business needs.
5. Collaborate with cross-functional hardware and software teams to optimize data pipelines and algorithm performance.

THE IDEAL CANDIDATE

• Bachelors degree or higher in Computer Science, Artificial Intelligence, Automation, or related fields.
• Proficient in Python and at least one deep learning framework (e.g., PyTorch, TensorFlow).
• Hands-on experience in data acquisition and processing (video streams, sensor data, distributed data).
• Practical expertise in at least one AI domain (Computer Vision, Speech Processing, or Natural Language Processing).
• Familiar with Linux development environments and cloud services (AWS, GCP, Alibaba Cloud) or distributed computing frameworks.
• Strong collaboration skills with the ability to work across interdisciplinary teams.

NICE TO HAVE

• Experience with multimodal data acquisition systems or robotics projects.
• Proficiency in C++ or Rust for high-performance programming.
• Knowledge of DevOps/MLOps practices for AI deployment and lifecycle management.

Job ID: BR Date posted: Oct. 14, 2025 Description: Who We Are: Lockheed Martin RMS provides mission software for the United States Strategic Command (USSTRATCOM) Nuclear Deterrence Mission. Our amazing men and women are on a mission to make a difference in the world and keep our nation safe. We use our unique skills and experiences every day to create, design and build solutions to some of the world's hardest engineering problems. Lockheed Martin RMS at Offutt Air Force Base in Bellevue, Nebraska is seeking a full-time Engineers to join our Global Strike and Product Support 2 (GSPS2) engineering team working with USSTRATCOM in an Agile / DevSecOps environment. Join us and create Web-based and Java mission systems for the Intelligence, Global Strike, and Nuclear Planning communities. With our employees as our priority, you'll benefit from diverse career opportunities designed to propel development and boost agility. Flexible schedules, competitive pay, and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. This opportunity is a gateway to advancing your career while strengthening our nation and protecting ourselves and our allies from next generation adversaries and their threats. What You Will Be Doing: The qualified candidate will work with experienced software engineers, AI Engineers, and Data Scientists executing engineering best practices, full-stack design patterns, and secure software and AI techniques in the Rogue Blue Software (RBS) Software environment as part of the Integrated Strategic Planning and Analysis Network (ISPAN) Mission Planning and Application System (MPAS) systems. Responsibilities will include development, design, and technical leadership for Artificial Intelligence and Machine Learning systems, model creation, data science / analytics, and interaction with systems engineers, architects, scrum masters, product owners, and end users to deliver mission capabilities for USSTRATCOM. Lockheed Martin RMS at Offutt Air Force Base in Bellevue, Nebraska is seeking a full-time Software Engineers to join our Global Strike and Product Support 2 (GSPS2) engineering team working with USSTRATCOM in an Agile / DevSecOps environment. Join us and create Web-based and Java mission systems for the Intelligence, Global Strike, and Nuclear Planning communities. With our employees as our priority, you'll benefit from diverse career opportunities designed to propel development and boost agility. Flexible schedules, competitive pay, and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. This opportunity is a gateway to advancing your career while strengthening our nation and protecting ourselves and our allies from next generation adversaries and their threats. What You Will Be Doing: The qualified candidate will work with experienced software engineers executing web development best practices, full-stack design patterns, and secure software techniques in the Rogue Blue Software (RBS) Software environment as part of the Integrated Strategic Planning and Analysis Network (ISPAN) Mission Planning and Application System (MPAS) systems. Responsibilities will include software development and design for Artificial Intelligence and Machine Learning systems, model creation, data science / analytics, and interaction with systems engineers, architects, scrum masters, product owners, and end users to deliver mission capabilities for USSTRATCOM. RMSC6ISR Basic Qualifications: • Bachelors degree from an accredited college in a related discipline, or equivalent experience/combined education, with 9 years of professional experience; or 7 years of professional experience with a related Masters degree. Considered an emerging authority. • Must be a US Citizen; this position will require a government security clearance. This position is located at a facility that requires special access • Experience with AI/ML: disciplines, domain programming languages (including Python), models, frameworks, and toolsets. • Experience analyzing domain problems and selecting and designing AI solutions. Desired Skills: • DevOps experience including CI/CD pipelines to build, test, deploy. • Experience with training deep neural networks and other AI algorithms • Experience with Java and JavaScript • Familiarity with high-performance computing • Familiarity interfacing with databases (Oracle, MongoDB) Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: Top Secret Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They're dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company, Lockheed Martin's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: No Career Area: Artificial Intelligence Type: Full-Time Shift: First d24ad0b8-823f-4e68-a ccdf7392

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: None TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people‘s lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation‘s history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they‘re making history.

We‘re seeking AI researchers and engineers with deep knowledge of Computer Science and a deep focus on Physical AI to design and implement intelligent autonomy algorithms that will be applied to the space domain. In this role, the ideal candidate will:

Perform Novel Algorithm R&D

• Design and implement state-of-the-art RL / SL algorithms drawn from the latest literature in order to build, test, validate, and deploy Physical AI policies applied to the space domain.
• Rapidly prototype in Python/JAX/PyTorch, then port to embedded C++/CUDA.

Develop Physics-Based Autonomy to perform Mission Planning & Decision-Making

• Apply supervised learning, reinforcement learning, and other Physical AI/ML techniques to high-fidelity astrodynamics planning and controls problems, including real-time constraint handling.
• Fuse learned policies with classical GNC filters for robust guidance, navigation, and closed-loop control.
• Build models that re-optimize delta-V, power, and comm- (among other) constrained timelines using neural search or differentiable optimization.
• Develop AI solutions for real-time anomaly detection and response to ensuring robust and adaptive spacecraft operations. This includes developing models that detect out-of-family telemetry and select corrective actions via hierarchical or policy-gradient RL
• Lead Monte-Carlo, Processor-in-the-Loop, Hardware-in-the-Loop, and digital twin campaigns to prove safety and performance per internal standards.

This position can be filled as a Level 2 or 3.

Basic Qualifications:

Engineer

• Bachelor‘s Degree (in Computer Science, Reinforcement Learning, or in STEM) with 2 years of experience (or 1 year of experience (outside of internships/graduate research/etc.) w/ a Masters, or 1 year (outside of internships/graduate research/etc.) w/ a PhD).  Experience can be considered in lieu of degree
• Strong physics-based numerical modeling and AI/ML experience
• Industry knowledge and/or foundational education of Physical AI and strong physics-based numerical modeling
• Proven track record of novel algorithm development (e.g., first-author papers, open-source releases, or production deployments)
• Hands-on coding of learning algorithms from primary literature—comfortable translating equations to optimized code
• Demonstrated physics-based AI application experience (e.g. for spacecraft, robotics, autonomous aircraft, drones, rockets, or similar) in academia or industry
• Proven experience in developing scalable RL/SL and other ML pipelines, with a track record of designing novel algorithms tailored to complex, real-world dynamics.
• Software Engineering Skills: Proficiency in software engineering best practices and standards, with experience in simulation development for space vehicle applications. This includes demonstrated experience in Embedded Software, Space Flight Software, or Simulation Software
• Python, CUDA, C/C++ programming experience
• Strong interest in space, national security, and related mission areas
• U.S. citizen

Principal Engineer

• Bachelor‘s Degree (in Computer Science, Reinforcement Learning, or in STEM) with 5 years of experience (or 3 years of experience w/ a Masters, or 1 year (outside of internships/graduate research/etc.) w/ a PhD).  Experience can be considered in lieu of degree
• Strong physics-based numerical modeling and AI/ML experience
• Industry knowledge and/or foundational education of Physical AI and strong physics-based numerical modeling
• Proven track record of novel algorithm development (e.g., first-author papers, open-source releases, or production deployments)
• Hands-on coding of learning algorithms from primary literature—comfortable translating equations to optimized code
• Demonstrated physics-based AI application experience (e.g. for spacecraft, robotics, autonomous aircraft, drones, rockets, or similar) in academia or industry
• Proven experience in developing scalable RL/SL and other ML pipelines, with a track record of designing novel algorithms tailored to complex, real-world dynamics.
• Software Engineering Skills: Proficiency in software engineering best practices and standards, with experience in simulation development for space vehicle applications. This includes demonstrated experience in Embedded Software, Space Flight Software, or Simulation Software
• Python, CUDA, C/C++ programming experience
• Strong interest in space, national security, and related mission areas
• U.S. citizen

Preferred Qualifications:

• A PhD in Computer Science or in a related field with a focus on Physical AI
• Diverse programming proficiency: C/C++, CUDA, Python, Matlab/Simulink, Windows/Linux scripting
• Diverse experience in modern AI/ML tools such as NVIDIA Omniverse, scikit-learn, pytorch, tensorflow, Ray, MLflow
• Experience in system and subsystem specification development including verification methodologies
• Knowledge of and experience with multi-agent systems and their application in achieving coordinated autonomous system behavior.
• Expertise in using simulation tools (such as ROS, Gazebo, or similar) to test and validate autonomy algorithms in realistic scenarios.
• Proficiency in utilizing cloud computing platforms (e.g., AWS, Google Cloud) for scaling machine learning workloads and managing large datasets.
• Hands-on technical experience with spacecraft or satellite related systems and in validating ML methods for embedded systems
• Proven experience working with technically diverse teams across multiple locations
• Experience with Space Flight Software and space simulation software
• Experience developing policies for Physical AI with experience in perception planning algorithms, end-to-end learning, 3D reconstruction, vision language models, world model development and/or other modern developments in Physical AI
• Experience working with both modular and end-to-end systems as well as designing both specialist and generalist policies
• Full stack AI developer with expertise in model development from perception to controls
• Active TS/SCI clearance

The Northrop Grumman Tactical Space Division is a strategic partner specializing in commercial and classified partnerships with the design, delivery, operation and sustainment of satellites and human spacecraft.  We support science and space exploration through our various partnerships, including NASA’s Artemis program with the goal to return humans to the Moon in 2024 and the TESS (Transiting Exoplanet Survey Satellite) program that has discovered more than twenty confirmed plants.  Recognized as an industry leader, we also develop highly specialized space and satellite components.

Northrop Grumman offers a competitive and robust benefits program.

As a full-time employee of Northrop Grumman, you are eligible for our robust benefits package including:

Medical

Dental & Vision coverage

401k

Educational Assistance

Life Insurance

Employee Assistance Programs & Work/Life Solutions

Paid Time Off

Health & Wellness Resources

Employee Discounts

Flexible Schedules (For example the ability to work a 9/80 work schedule, which allows an employee to work a nine-hour day Monday through Thursday and take every other Friday off of work)

For more details please visit our total rewards site or chat with one of our recruiters to learn more.

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Primary Level Salary Range: $108,200.00 - $62,200.00 Secondary Level Salary Range: 133,500.00 - 200,300.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate‘s experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: None TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people‘s lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation‘s history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they‘re making history.

We‘re seeking AI researchers and engineers with deep knowledge of Computer Science and a deep focus on Physical AI to design and implement intelligent autonomy algorithms that will be applied to the space domain. In this role, the ideal candidate will:

Perform Novel Algorithm R&D

• Design and implement state-of-the-art RL / SL algorithms drawn from the latest literature in order to build, test, validate, and deploy Physical AI policies applied to the space domain.
• Rapidly prototype in Python/JAX/PyTorch, then port to embedded C++/CUDA.

Develop Physics-Based Autonomy to perform Mission Planning & Decision-Making

• Apply supervised learning, reinforcement learning, and other Physical AI/ML techniques to high-fidelity astrodynamics planning and controls problems, including real-time constraint handling.
• Fuse learned policies with classical GNC filters for robust guidance, navigation, and closed-loop control.
• Build models that re-optimize delta-V, power, and comm- (among other) constrained timelines using neural search or differentiable optimization.
• Develop AI solutions for real-time anomaly detection and response to ensuring robust and adaptive spacecraft operations. This includes developing models that detect out-of-family telemetry and select corrective actions via hierarchical or policy-gradient RL
• Lead Monte-Carlo, Processor-in-the-Loop, Hardware-in-the-Loop, and digital twin campaigns to prove safety and performance per internal standards.

This position can be filled as a Level 2 or 3.

Basic Qualifications:

Engineer

• Bachelor‘s Degree (in Computer Science, Reinforcement Learning, or in STEM) with 2 years of experience (or 1 year of experience (outside of internships/graduate research/etc.) w/ a Masters, or 1 year (outside of internships/graduate research/etc.) w/ a PhD).  Experience can be considered in lieu of degree
• Strong physics-based numerical modeling and AI/ML experience
• Industry knowledge and/or foundational education of Physical AI and strong physics-based numerical modeling
• Proven track record of novel algorithm development (e.g., first-author papers, open-source releases, or production deployments)
• Hands-on coding of learning algorithms from primary literature—comfortable translating equations to optimized code
• Demonstrated physics-based AI application experience (e.g. for spacecraft, robotics, autonomous aircraft, drones, rockets, or similar) in academia or industry
• Proven experience in developing scalable RL/SL and other ML pipelines, with a track record of designing novel algorithms tailored to complex, real-world dynamics.
• Software Engineering Skills: Proficiency in software engineering best practices and standards, with experience in simulation development for space vehicle applications. This includes demonstrated experience in Embedded Software, Space Flight Software, or Simulation Software
• Python, CUDA, C/C++ programming experience
• Strong interest in space, national security, and related mission areas
• U.S. citizen

Principal Engineer

• Bachelor‘s Degree (in Computer Science, Reinforcement Learning, or in STEM) with 5 years of experience (or 3 years of experience w/ a Masters, or 1 year (outside of internships/graduate research/etc.) w/ a PhD).  Experience can be considered in lieu of degree
• Strong physics-based numerical modeling and AI/ML experience
• Industry knowledge and/or foundational education of Physical AI and strong physics-based numerical modeling
• Proven track record of novel algorithm development (e.g., first-author papers, open-source releases, or production deployments)
• Hands-on coding of learning algorithms from primary literature—comfortable translating equations to optimized code
• Demonstrated physics-based AI application experience (e.g. for spacecraft, robotics, autonomous aircraft, drones, rockets, or similar) in academia or industry
• Proven experience in developing scalable RL/SL and other ML pipelines, with a track record of designing novel algorithms tailored to complex, real-world dynamics.
• Software Engineering Skills: Proficiency in software engineering best practices and standards, with experience in simulation development for space vehicle applications. This includes demonstrated experience in Embedded Software, Space Flight Software, or Simulation Software
• Python, CUDA, C/C++ programming experience
• Strong interest in space, national security, and related mission areas
• U.S. citizen

Preferred Qualifications:

• A PhD in Computer Science or in a related field with a focus on Physical AI
• Diverse programming proficiency: C/C++, CUDA, Python, Matlab/Simulink, Windows/Linux scripting
• Diverse experience in modern AI/ML tools such as NVIDIA Omniverse, scikit-learn, pytorch, tensorflow, Ray, MLflow
• Experience in system and subsystem specification development including verification methodologies
• Knowledge of and experience with multi-agent systems and their application in achieving coordinated autonomous system behavior.
• Expertise in using simulation tools (such as ROS, Gazebo, or similar) to test and validate autonomy algorithms in realistic scenarios.
• Proficiency in utilizing cloud computing platforms (e.g., AWS, Google Cloud) for scaling machine learning workloads and managing large datasets.
• Hands-on technical experience with spacecraft or satellite related systems and in validating ML methods for embedded systems
• Proven experience working with technically diverse teams across multiple locations
• Experience with Space Flight Software and space simulation software
• Experience developing policies for Physical AI with experience in perception planning algorithms, end-to-end learning, 3D reconstruction, vision language models, world model development and/or other modern developments in Physical AI
• Experience working with both modular and end-to-end systems as well as designing both specialist and generalist policies
• Full stack AI developer with expertise in model development from perception to controls
• Active TS/SCI clearance

The Northrop Grumman Tactical Space Division is a strategic partner specializing in commercial and classified partnerships with the design, delivery, operation and sustainment of satellites and human spacecraft.  We support science and space exploration through our various partnerships, including NASA’s Artemis program with the goal to return humans to the Moon in 2024 and the TESS (Transiting Exoplanet Survey Satellite) program that has discovered more than twenty confirmed plants.  Recognized as an industry leader, we also develop highly specialized space and satellite components.

Northrop Grumman offers a competitive and robust benefits program.

As a full-time employee of Northrop Grumman, you are eligible for our robust benefits package including:

Medical

Dental & Vision coverage

401k

Educational Assistance

Life Insurance

Employee Assistance Programs & Work/Life Solutions

Paid Time Off

Health & Wellness Resources

Employee Discounts

Flexible Schedules (For example the ability to work a 9/80 work schedule, which allows an employee to work a nine-hour day Monday through Thursday and take every other Friday off of work)

For more details please visit our total rewards site or chat with one of our recruiters to learn more.

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Primary Level Salary Range: $108,200.00 - $62,200.00 Secondary Level Salary Range: 133,500.00 - 200,300.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate‘s experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.