233 matching jobs for “GPU Design Verification Engineer”

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Booz Allen Hamilton

AI/ML Engineer, Senior

Aurora, Colorado, United States

Pay posted by employer$99,000–$225,000

Design, develop, and implement AI/ML models, including NLP, LLM‑based pipelines, deep learning architectures, and …

Added Oct 27, 2026

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Nvidia

Senior Software Engineer, Hardware Tools and Methodology Development

Santa Clara, California, United States

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized …

Added Oct 27, 2026

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Nvidia

Senior Storage Software Engineer, DGXC Data Services

Santa Clara, California, United States +5 locations

… access, ingestion, governance, observability, and data management for exabyte-scale, high-performance GPU-based training and inference jobs. Our work gives NVIDIA teams the foundational capabilities they need to …

Added Oct 27, 2026

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Nvidia

Senior Cloud Software Engineer, DGXC Data Services

Santa Clara, California, United States +1 location

Added Oct 27, 2026

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Booz Allen Hamilton

Wireless and Edge Infrastructure Cybersecurity Engineer

Annapolis Junction, MD

Pay posted by employer$86,900–$198,000

Wireless and Edge Infrastructure Cybersecurity Engineer The Opportunity: Are you driven by relentless curiosity and a passion for securing systems that have never …

Added Oct 31, 2026

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Nvidia

Senior DFT Methodology - Data Analytics and Applied AI Engineer

Santa Clara, California, United States

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized …

Added Oct 29, 2026

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Nvidia

Power Methodology and Modeling Engineer - New College Grad 2026

Austin, Texas, United States

As a member of the Architecture Energy Modeling Team, you will collaborate with Architects, ASIC Design Engineers, Low Power Engineers, Performance Engineers, Software Engineers, and Physical Design teams to …

Added Oct 31, 2026

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Nvidia

Senior Deep Learning Engineer, Cosmo 3D Spatial

Santa Clara, California, United States

… team builds the foundational capabilities behind these models. We are hiring a Senior Deep Learning Engineer to own the data engine and end-to-end training verification behind the 3D spatial reasoning and perception …

Added Oct 27, 2026

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Nvidia

Power Analysis and Optimization Engineer - New College Graduate 2027

China, Shanghai

… watt is critical to our success. The Power Analysis and Optimization team works closely with architecture, design, verification, and physical-design teams to define power targets for architectural changes and new …

Added Oct 27, 2026

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Nvidia

Senior Product Quality Engineer, Board – Automotive

Santa Clara, California, United States

… with other teams within NVIDIA to root cause and resolve complex problems. Apply knowledge of system design, electrical engineering and PCBA manufacturing to propose containment and corrective action for …

Added Oct 27, 2026

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Booz Allen Hamilton

Agentic Systems Full-Stack Software Engineer, Senior

Fayetteville, North Carolina, United States

Pay posted by employer$86,800–$198,000

Agentic Systems Full-Stack Software Engineer, Senior The Opportunity: Most engineering roles ask you to write sof tware. This one asks you to design it, …

Added Oct 27, 2026

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Nvidia

Systems Engineer, World Model Evaluation - Autonomous Vehicles

Santa Clara, California, United States

… we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s …

Added Oct 27, 2026

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Nvidia

Senior Software Engineer, Embedded Platform Middleware — Automotive and Robotics

Santa Clara, California, United States

… If you love shipping code that runs in real cars and real robots, this is your team. What You'll Be Doing: Design and evolve middleware APIs for buffer sharing, cross-engine synchronization, streaming, and inter-process …

Added Oct 31, 2026

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Nvidia

Senior System Software Engineer, Replay and Simulation

Santa Clara, California, United States

… into the world and see the solution come together, we would like to hear from you! What you'll be doing: Design, build, and deploy replay and simulation focused tooling and frameworks for current and next generation …

Added Oct 27, 2026

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Nvidia

Senior Software Engineer, Attestation Services - DGX Cloud

Santa Clara, California, United States +4 locations

… for certificate status, revocation updates, signed metadata, RIM artifacts, trust bundles, offline verification, and customer-managed resilience models. Implementing appraisal, policy, and verification workflows that …

Added Oct 27, 2026

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Applied Materials

New College Grad - Computational Physics & Agentic AI Engineer, Doctorate Degree (Spring 2027)

Santa Clara, California, United States

Pay posted by employer$138,000–$190,000

As a Computational Physics, Plasma Modeling & Agentic AI Engineer, you will join a computational modeling team that develops and applies advanced physics-based simulation …

Added Oct 31, 2026

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RTX

Ingénieur(e) certification logicielle - systèmes de contrôle (DO-178C) / Control Systems Software Certification Engineer (DO-178C)

CA-QC-LONGUEUIL-J01 ~ 1000 Blvd Marie-Victorin ~ J01 BLDG

… outils modernes de gestion des exigences ainsi qu’avec des environnements plus anciens (ex. : systèmes VAX, GPU) Contribuer au développement en assembleur, Ada, C/C++ et autres langages pertinents Certification et …

Added Oct 27, 2026

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Nvidia

Software Engineering Intern, AI CI/CD Infrastructure – 2027

China, Shanghai

… CI failures faster to detect, understand, and resolve. Working with a mentor and engineers across compiler verification and infrastructure, you will build an AI-assisted workflow for analyzing test results, classifying …

Added Oct 27, 2026

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Intel

Silicon Hardware Engineering - Intern, Graduate

Hillsboro, Oregon, United States +4 locations

Full time
Internship

Pay posted by employer$105,698–$105,702 USD per year

… Where Your Career Could Take You Potential opportunity areas include: Analog Circuit Design Engineer CPU/GPU Design Verification Engineer GPU Physical Design Engineer DFT Design Engineer Formal Verification Engineer Product Development Engineer …

Added Oct 27, 2026

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Intel

Silicon Hardware Engineering - Intern, Bachelor’s

Hillsboro, Oregon, United States +4 locations

Full time
Internship

Pay posted by employer$91,198–$91,202 USD per year

Added Oct 27, 2026

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Booz Allen Hamilton

AI/ML Engineer, Senior

Aurora, Colorado, United States

Pay posted by employer$99,000–$225,000

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About this opportunity

Original employer description

AI/ML Engineer, Senior

The Opportunity

As a Senior AI/ML Engineer, you will design, build, and deploy advanced artificial intelligence and machine learning solutions that modernize mission systems and accelerate decision‑making across the national security ecosystem. You will contribute end‑to‑end—spanning data processing, model development, MLOps, and integration of scalable AI capabilities into operational environments.

Your work will leverage deep experience with ML‑based NLP, LLMs and generative AI, computer vision, and modern software engineering practices, consistent with the company’s AI/ML engineering role definitions. We value first-principles reasoning and physically interpretable models, so experience developing hybrid systems that combine calibrated sensor models, deterministic algorithms, probabilistic inference, and learned components is particularly desirable. Candidates should be motivated by building systems that are scientifically explainable, empirically validated, and capable of operating robustly across both synthetic and real-world sensing environments. You will partner closely with cross‑functional engineering, mission SMEs, and product teams to deliver production‑grade systems aligned with Booz Allen’s AI modernization approaches.

Join us. The world can’t wait.

What You'll Do:

Design, develop, and implement AI/ML models, including NLP, LLM‑based pipelines, deep learning architectures, and computer vision models, aligned to mission requirements
Build and optimize scalable data pipelines to support training, evaluation, and continuous improvement of models
Develop end‑to‑end production systems including microservices, APIs, automation frameworks, and cloud‑native or edge‑deployed AI services
Integrate AI/ML capabilities into operational environments with attention to security, reliability, observability, and performance
Conduct model optimization, tuning, versioning, and AB testing to ensure robust mission impact
Apply modern software engineering patterns, including Python, Java, Scala, or Rust, microservices, and distributed systems as consistent with Booz Allen’s AI/ML engineering frameworks
Collaborate with multi‑disciplinary teams to identify mission needs, gather requirements, and define technical approaches
Prepare technical documentation, contribute to design reviews, and support accreditation or security processes as required in classified environments

You Have: 

5+ years of experience developing machine learning models, such as NLP, LLM, CV, deep learning, generative AI, or reinforcement learning

5+ years of experience developing AI/ML capabilities to operate in a microservice stack

Experience developing or maintaining production‑grade APIs, microservices, or distributed systems

Experience with data processing frameworks and scientific computing libraries, such as NumPy, Pandas, PyTorch, TensorFlow, or scikit‑learn

Experience designing, configuring, or deploying software systems in operational environments

Experience with CI/CD tooling, source control, such as GitLab, and containerization technologies, such as Docker, Podman, or Kubernetes

Active TS/SCI clearance; willingness to take a polygraph exam

Bachelor's degree in a STEM field

Nice If You Have: 

Experience in GPU programming, including CUDA or RAPIDs
Experience with AWS and containerization of models in a classified environment
Experience with LLM orchestration, RAG pipelines, grounding, or hallucination‑mitigation workflows
Experience with MLOps platforms, distributed training, or hybrid cloud environments, such as AWS, Azure, or GCP
Knowledge of automated testing tools and model evaluation frameworks
Master’s degree in Computer Science, AI/ML Engineering, Data Science, or related STEM field
AI/ML, cloud, or solution architecture certifications

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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