124 Autonomous Vehicles jobs in the United States

Job DescriptionJob DescriptionCome join an exciting team!

The Hardware-Software Integration team at with our autonomous client is responsible for ensuring various hardware subsystems work reliably on our software test platforms on a day-to-day basis. As the Engineering Technician, you will support the build and maintenance of these custom machines to enable software simulation.

This role is essential and fundamental to the execution stage of the autonomous software development program, ensuring that the simulation and test infrastructure operate predictably at all times. We are looking for someone who is comfortable with maintaining complex systems, and excited about developing new ways to support a rapidly moving R&D organization.

RESPONSIBILITIES

• Support and track various configurations and of test platforms for vehicle simulation and software test platform
• Assemble custom hardware to enable Hardware-in-the-Loop testing of software builds
• Use commercially available, off-the-shelf components to build computers
• Integrate network and vehicle system components in server racks
• Diagnose, troubleshoot, and repair test hardware/equipment
• Build cable harnesses based on diagrams/drawings
• Occasionally move computer equipment weighing up to 50 pounds with assistance
• Work with engineering teams to troubleshoot complex issues
• Create and track tickets within ticketing system to address problems, incidents and changes of hardware, and provide details of work performed
• Coordinate with cross functional teams for parts receiving, installs, upgrades, and decommissioning projects

Salary Range: $80,000 - $85,000/ annually

Requirements

QUALIFICATIONS

• Demonstrate ability to use general shop, automotive, and diagnostic tools (DMM, Oscilloscope, etc.)
• Experience with building/troubleshooting/diagnosing computers, Arduino side projects, etc.
• Excellent organizational and documentation skills
• Ability to lift 25-30 pound boxes
• Ability to crawl/bend to work on low ground wiring as needed
• Experience building cable harnessing and familiarity with cable management
• Working knowledge of computer and networking hardware

QUALIFICATIONS

• Experience with Google suite, Microsoft Office, JIRA, Confluence or similar programs
• Knowledge of automotive electrical systems
• Experience in running scripts and working with Linux based systems
• B.S. in Engineering (Bonus Qualification)

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Training & Development
• Retirement Plan (401k, IRA)

Shape the Future of Autonomous Driving with NVIDIA! Join NVIDIA’s DRIVE Road Structure, Online Mapping, and Context Fusion team as we build the next generation of autonomous vehicle technology. We are seeking a highly skilled Senior Software Engineer to architect, develop, and optimize the software stack powering our advanced 3D world modeling, map-perception fusion, and context-aware navigation systems. In this role, you’ll collaborate with leading experts across perception, planning, and mapping to deliver robust, scalable solutions that enable our vehicles to safely navigate complex real-world environments. If you thrive on solving challenging problems at the intersection of software architecture, real-time systems, and AI, we want to hear from you!

What You’ll Be Doing:

• Develop and Implement Core AV Features: Design and implement foundational systems for autonomous driving by fusing state-of-the-art perception DNNs and HD map data, supporting both map-based and mapless driving.

• Build Modular, Scalable Software: Drive architectural improvements to modularize the software stack, establish clean interfaces, and enable extensibility and reuse across multiple product lines and OEMs.

• Drive Performance and Quality: Profile and tune system performance for multi-core, embedded, and safety-critical environments using C++ and GPGPU programming (CUDA).

• Writing safe embedded software code to run in real-time systems.

• Collaborate and Lead: Partner with global teams across software, systems, and hardware to define interfaces, improve integration velocity, and mentor engineers.

• Ensure Safety and Reliability: Develop algorithms and software that meet automotive quality and safety standards, with rigorous test coverage and documentation.

What We Need to See:

• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field (or equivalent experience).

• 7+ years of professional software development experience, including at least 2 years in autonomous vehicles, robotics, or embedded/automotive platforms.

• Strong expertise in C++ (and C), with hands-on experience in real-time, multithreaded, or performance-critical systems.

• Proven experience in software architecture, modular design, and framework/API development.

• Familiarity with GPGPU programming (CUDA) and runtime optimization.

• Experience working in Linux, QNX, or other embedded RTOS environments.

• Excellent communication and collaboration skills; ability to work across multidisciplinary teams.

• Passion for robotics, AI, and autonomous vehicles; eager to learn and solve impactful challenges.

Ways to Stand Out from the Crowd:

• Knowledge of 3D geometry, computer vision, sensor fusion, calibration, or state estimation (e.g., Kalman/particle filters).

• Industry experience with ADAS, mapping, localization, or real-time computer vision systems.

• Experience with API and framework design in large-scale, safety-critical automotive software environments.

• Familiarity with Git, Bazel, and modern development workflows.

• Technical leadership experience, including mentoring and growing engineering teams.

At NVIDIA, we believe autonomous vehicles will transform our world—saving lives and redefining mobility. We have the resources, scale, and ambition to lead this revolution, and we’re looking for entrepreneurial, driven engineers to join us. As part of our diverse and inclusive team, you’ll work alongside some of the brightest minds in the industry. Ready to drive the future? Apply now and help us build the next generation of autonomous vehicles!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits ( .

Applications for this job will be accepted at least until August 17, 2025.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

**Job Description**
**Remote:** This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times a week, at minimum.
**Role:** You will be part of a team that drives systematic and data-driven improvements to the Autonomous Vehicle software by designing, implementing, and maintaining robust processes for evaluation and validation of our AVs. To achieve this objective, we are looking for a highly motivated individual with excellent analytical skills to own end to end execution, methodology improvements and insight articulation/communication to ensure high-quality evaluation and release of our End-to-End ML Stack.
In this position, you will work closely with AI/ML Engineers, Simulation Engineers, Systems Engineers, Product Managers to identify, analyze, monitor and prioritize the most important signals to assess performance of our ML based stack leveraging simulation and on-road data and building scalable processes to evaluate compliance to our KPIs.
If you're interested in having a major impact on accelerating AV Behavioral Evaluation assessment on ML-driven autonomy through creative problem solving, let's chat!
**What Y** **ou'll** **Do:**
+ Define an AV evaluation process that spans from initial conception through implementation, ensuring it is applied to the release of our end-to-end (E2E) ML stack.
+ Provide hands-on implementation of infrastructuresolutionsto assess AV performance from ELT tooling at GM from simulation and on-road data.
+ Proactively scope and identify metrics needed to improve our evaluation workflows and devise paths for implementation if not available.
+ Contribute to automated triage strategies for AV deficiencies in an End-to-Endstack architecture and present findings to relevant stakeholders.
+ Articulate insights, summaries and recommendations to AV developers and executives based on continuous analysis of AV performance.
+ Define and maintain scalable processes to identify, monitor and improve evaluation KPIs as definition of success of evaluation initiatives.
+ Map and articulate link between continuous improvement processes with the product safety case and compliance with safety standards.
**Additional Job Description**
**Your Skills & Abilities:**
+ Strong Python and SQL programming
+ Prior knowledge and implementation of ELT pipelines for product quality analysis
+ Strong problem-solving skills - End to End ownership from problem definition to deriving the desired outcome
+ Passionate about robotics/AI complexities
+ Proven track record of analytical and systems engineering skills while dealing with complex systems and ambiguous AI functions
+ Proven track record of root cause analysis in complex SW/HW systems
+ Familiarity with analytical methods for driving behavioral analysis
+ Ability to creatively problem solve with limited supervision
+ Motivated by a fast paced, challenging environment with high expectations and quick turnarounds
+ Strong cross functional communication and collaboration skills
+ Ability to learn quickly, starting with little information and quickly becoming an expert in your domain
+ Proven experience at communicating data driven decisions to leadership
+ BS , MS or PhD in Engineering or related discipline or equivalent combination education and experience
**What Will Give You** **A** **Competitive Edge:**
+ Experience with statistical methods for product evaluation and risk assessment
+ Experience with developing data driven metrics
+ Experience with GitHub and Jira or equivalent tools
+ Experience with robotics and AV/ADASsystems
**Compensation** **:** The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
+ The salary range for this role is $165,00 to $253,200. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
+ Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
**Relocation:** This job may be eligible for relocation benefits.
**About GM**
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
**Why Join Us**
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**Benefits Overview**
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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .
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We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company ( Culture**
**How we hire? ( diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations ( policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Join NVIDIA's Solution Engineering team that is changing the future of driving. Our goal is to build and deploy scalable solutions for autonomous vehicles and as a result, create safer and more efficient roads. Our team is hands-on, passionate about practical results, and values diversity. You will help craft the application software architecture by working closely with external partners developing on our platform and collaborate across multiple teams within NVIDIA working on autonomous vehicles. You will also advance and refine the overall drivability of our solution, focusing on integration challenges and using your deep analytical skills to tease through the complexity of the system to find effective solutions. NVIDIA is widely considered to be one of the technology world’s most desirable employers, and is committed to fostering a diverse work environment and proud to be an equal opportunity employer. If you are passionate in bringing autonomous vehicles 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 simulation focused frameworks and tooling for current and next generation autonomous vehicle development and integration testing.

• Lead bring-up and integration activities as the trusted technical expert to our partners, providing domain expertise to resolve functional and simulation related issues.Perform in-vehicle and simulation test drives, collect and perform deep analysis on the recorded data, and use aggregated metrics for simulation-to-real comparative analysis.

• Collaborate with engineering and product teams across our US, APAC, and Europe locations to drive modern and creative simulation solutions for partners with accurate validation and verification.

• Provide technical leadership and mentoring to multi-functional engineering teams with diverse skills and backgrounds.

What we need to see:

• BS, MS or PhD degree in computer science, robotics, electrical engineering, or related technical field (or equivalent experience).

• 8+ years of work related experience in software development related to autonomous driving and/or simulation technologies.

• Track record providing robust and efficient solutions (in car or simulation) with an emphasis on profiling, benchmarking, and evaluation for verification and validation.

• Prior experience in application development and familiarity with middleware frameworks and sophisticated system-level integrations.

• Excellent C/C++ development skills with good knowledge of Python.

• Ability to adapt to fast paced development lifecycles, multi-functional organizations, new technologies and platforms.

Ways to stand out from the crowd:

• Experience with automotive design processes and standards (e.g. ISO 26262 FuSa, ISO 21448 SOTIF, ASPICE), including in-vehicle testing, simulation and metrics driven development.

• Proven expertise in developing simulation solutions and experience with diverse vehicle dynamics and sensor modalities in automotive (camera, radar, ultrasonic, GPS, IMU, LIDAR)

• Understanding of NVIDIA DRIVE platform and NVIDIA GPU hardware

• In-vehicle networking and application frameworks: CAN, Flexray, Ethernet, Some/IP, Classical and Adaptive AUTOSAR

• Strong analytical skills, strive for innovative solutions, with outstanding attention to details.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits ( .

Applications for this job will be accepted at least until July 29, 2025.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Who We Are

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world's largest airlines and ground handling providers. For more information, visit

Job Description:

We are looking for Autonomous Vehicle Operators to join AeroVect's Atlanta-based team. In this role, you will be responsible for operating our autonomous airport tractors at Hartsfield-Jackson Atlanta International Airport as they move live cargo across the airfield. Your supervision of the vehicles will improve the performance and safety of our technology.

You will work side-by-side with our engineering team, providing crucial feedback on vehicle performance and ensuring safe vehicle behavior. As part of the AeroVect team, you'll have the chance to get hands-on with Autonomous vehicles in a fast-paced, innovative environment.

Attention to detail, professionalism, care, and personal accountability - combined with a deep passion for safety - are key attributes required for the position.

What You'll Do:

• Operate AeroVect's autonomous vehicles at Hartsfield-Jackson Atlanta International Airport
• Log vehicle behavior, performance, observations, and key metrics
• Supervise autonomous baggage tugs while in operation, and manually drive them to and from their storage depot
• Conduct pre-shift and post-shift inspections of the vehicles and their hardware systems
• Work with the engineering team to trial and test new vehicle features
• Interface with those interacting with the vehicle on the route, as cargo and baggage are loaded for the vehicle to transport
• Lend your expertise to the improvement of vehicle performance and handling of complex driving scenarios

Qualifications:

Minimum Qualifications

• Experience operating in Airside Environments
• Experience handling specialty vehicle types in complex environments
• A valid US Class C Driver's License, with 3+ years of driving experience with a clean driving record
• Experience in a lead or sole-supervisor role, demonstrating superior responsibility
• Being a reliable, detailed-oriented individual with strong communication skills

•Alertness and good driving instinct to monitor autonomous vehicle performance

• Must be able to work flexible hours, including weekends
• Must be able to pass federal background checks and receive and maintain issuance of an airport security badge

Preferred Qualifications:

• Experience operating an autonomous vehicle, or overseeing operations of autonomous machinery
• Experience with safety-critical infrastructure
• Basic computer programming skills. ROS experience is a plus.
• Interest in autonomous driving and aviation
• Test driving experience
• Familiarity with the layout and cargo operations of ATL

AeroVect is an equal opportunity employer and does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, parental status, military service, or other non-merit factors.

Senior Program Manager (autonomous Vehicles)

The Senior Program Manager (SPM) will need to direct and oversee in field operations of autonomous vehicle roadside assistance operations, serving one of the largest AV companies. This leadership position is intended to fill a critical operational function, managing a team of managers, and thousands of individual contributors.

Academic Preference & Qualifications:

• Bachelor's degree or equivalent experience in Business Administration, Logistics, Transportation, and or related field preferred
• Must possess a valid Class A or B driver's license in the State of Texas, to include a Passenger endorsement, and have at least three (3) years of recent professional commercial driving experience

Key Responsibilities:

• Manages global response and recovery operations in dynamic transit environments
• Directly overseeing managers and employees that are customer facing and charged with mitigating high visibility situations while exercising extreme safety
• Provides strategic planning and direction to the operations
• Manages and maintains client contract compliance
• Fosters an environment where employee suggestions are vetted and implemented whenever possible and in line with the company's direction
• Provides general guidance to department managers
• Partners with corporate support teams to ensure optimal delivery of services to the assigned sector
• Manages and maintains client contract compliance
• Assists with developing and managing the operational budget
• Investigates, implements, and administers hiring decisions including terminations, promotions, and new hires

Necessary Skills:

• 10 or more years of relevant management and leadership experience required
• Strong background in transportation and/or logistics is highly preferred
• Expertise in fleet management and complex scheduling for operations and maintenance can be an added advantage
• Working knowledge of basic federal and state employment laws and also of laws, ordinances and regulations pertaining to motor vehicle operations
• Ability to maintain positive relationships with clients, employees, and support departments
• Remain flexible and agile for changing business needs and/or projects
• Experience managing a P/L, including forecasting & budgeting
• Working knowledge and proficiency with Microsoft Office and/or GSuite programs and the ability to manage and manipulate data in spreadsheets.
• Strong written and oral communication skills; excellent presentation skills; ability to influence people at all levels of the organization
• Experience in rapid response and recovery operations with numerous vehicle types is desired or equivalent experience
• Ability to launch operations in ambiguous environments with minimal information

We would be happy to get to know you and your skills better and see how we can support each other's growth. Please apply and let's meet!

The Autonomous Vehicles Platform team is searching for engineers to develop and bring NVIDIA's automotive platform out to the world. You will participate in a focused effort to develop and productize ground-breaking solutions that will revolutionize the world of transportation and the growing field of self-driving cars. You will work with hardworking and dedicated multi-functional engineering development teams across various vehicle subsystems to integrate their work into our autonomous driving DRIVE SW platform, while achieving or exceeding all meaningful NVIDIA and automotive standards & guidelines. You'll find the work is exciting, fun, and very meaningful. We have deadlines, customers, and competition.

What you'll be doing:

• Develop embedded real time system software responsible providing safety services for Advance Driver Assistance System.

• Optimize solution to meet all product, safety and system level requirements and satisfy key performance indicators.

• Adhere to development rigor that insures achieving the overall product safety goals and develop supporting work-products that align with functional safety process.

• Collaborate with software, hardware, and integration teams to derive and drive system level architecture and requirements.

• Regularly engage with customer teams directly to customize, integrate, and productize.

• Analyze sophisticated technical issues and independently drive resolution across multiple teams.

• Work in an environment which involves Hypervisor, Linux, QNX RTOS, Classic AUTOSAR.

What we need to see:

• BS, MS in CS/CE/EE, or equivalent experience

• 6+ years in a related field

• Excellent C coding skills along with proficiency in Scripting languages

• Sound Foundation in SoC principles, general systems architectures, operating systems, device drivers, memory management, multithreading, and real-time scheduling.

• Excellent communication and organization skills, with a logical approach to problem solving, good time management and task prioritization

• Deep understanding networking principles, knowledge of Time Synchronization Protocols and Time Sensitive Networking

Ways to stand out from the crowd:

• Prior experience in Automotive field

• Background with QNX RTOS and tools

• Prior experience working with CAN and tools, RADAR, LiDAR is a plus

• Experience with onsite and offsite customer support

• Prior experience writing Network Switch Configuration Firmware

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits ( .

Applications for this job will be accepted at least until August 19, 2025.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

#deeplearning

Our Autonomous Vehicles Platform team is searching for engineers to develop and bring NVIDIA's automotive platform out to the world. You will participate in a focused effort to develop and productize ground-breaking solutions that will revolutionize the world of transportation and the growing field of self-driving cars. You will work with hardworking and dedicated multi-functional engineering development teams across various vehicle subsystems to integrate their work into our autonomous driving DRIVE SW platform, while achieving or exceeding all meaningful NVIDIA and automotive standards & guidelines. You'll find the work is exciting, fun, and very meaningful. We have deadlines, customers, and competition.

What you'll be doing:

• Develop embedded real time system software responsible providing safety services for Advance Driver Assistance System

• Optimize solution to meet all product, safety and system level requirements and satisfy key performance indicators

• Adhere to development rigor that insures achieving the overall product safety goals and develop supporting work-products that align with functional safety process

• Collaborate with software, hardware, and integration teams to derive and drive system level architecture and requirements

• Regularly engage with customer teams directly to customize, integrate, and productize

• Analyze sophisticated technical issues and independently drive resolution across multiple teams

• Work in an environment which involves Hypervisor, Linux, QNX RTOS, Classic AUTOSAR

What we need to see:

• BS, MS in CS/CE/EE, or equivalent experience

• 8+ years in a related field

• Must have detailed experience with Classic Autosar Software Stack and associated development tools

• Excellent C coding skills along with proficiency in Scripting languages

• Master of software debugging tools: software debuggers, analyzers, trace loggers

• Deep understanding of SoC principles, general systems architectures, operating systems, device drivers, memory management, multithreading, and real-time scheduling

• Excellent communication and organization skills, with a logical approach to problem solving, good time management and task prioritization

Ways to stand out from the crowd:

• Prior experience in Automotive field

• Background with QNX RTOS and tools

• Prior experience working with CAN and tools, RADAR, LiDAR is a plus

• Experience with onsite and offsite customer support

• Prior experience writing Network Switch Configuration Firmware

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits ( .

Applications for this job will be accepted at least until July 29, 2025.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

#deeplearning

Want to join a fun, creative company that is on the cutting edge of outstanding technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. We are looking for an experienced Technical Product Manager to evangelize NVIDIA’s core technologies in GenAI and lead technical customer engagement from inception and pre-sales to adoption. This role requires a 360 awareness of technical topics, business priorities and implications, as well as a deep understanding of the customer needs in order to drive significant impact in adoption of our technology.

What you will be doing:

• Serve as a technical advisor and problem solver with partner engineering teams, collaborating on architecture, code, and integration for Omniverse and AI enabled-solutions.

• Develop and maintain deep technical expertise in NVIDIA Cosmos and Omniverse Platforms and related technologies (APIs, USD, NIMs, Blueprints) through prototyping, technical integration and creation of reference architectures.

• Co-design and implement sophisticated technical solutions with partners – defining objectives, architecture, milestones, and delivery plans. Contribute sample code, architecture diagrams, and direct engineering support to overcome technical challenges.

• Develop and deliver technical enablement resources (code samples, reference architectures, integration guides, workshops) to accelerate partner engineering teams’ adoption and effective use.

• Engage with partner software organizations - from engineering teams to technical leaders, and decision makers - to understand their goals, identify and resolve technical blockers, advocate for best practices, and drive alignment with NVIDIA technical solutions.

• Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.

• Support product launches, technical go-to-market activities by providing technical validation, demonstrating coordinated solutions, and ensuring perfection in customer- and partner-facing materials.

What we need to see:

• Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.

• 12+ years of hands-on experience in a technical AI role, with a strong emphasis on AV End-to-End models and GenAI model development.

• Experience writing production codes in Python, or C++ and proficiency with Linux.

• Hands-on experience with DevOps tools such as GitLab, Docker, and Kubernetes.

• Strong understanding of AV systems (Sensors, dynamics, perception, prediction, planning, control).

• Experience with DL and RL algorithms and frameworks such as PyTorch.

• Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams).

• Effective verbal/written communication, and technical presentation skills.

• Self-starter with a vision for growth, real passion for continuous learning and sharing findings across the team.

Ways to stand out from the crowd:

• Experience with AV sensors, data curation pipelines, world models, simulations workflows and tools

• Experience with Agentic AI frameworks, tools, and protocols like LangChain, LangGraph, MCP or equivalent experience.

• Understand computational characteristics of Multimodal LLMs, VLMs, DiT, etc.

• Experience in deploying LLM models at scale on mainstream cloud providers (e.g., AWS, Azure, GCP).

• Consistent track record to profile and optimize inference latency and efficiency, memory and I/O utilization.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.

You will also be eligible for equity and benefits ( .

Applications for this job will be accepted at least until August 18, 2025.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.