NVIDIA Logo

NVIDIA

Senior Perception Software Engineer

Posted 22 Days Ago
In-Office or Remote
3 Locations
224K-357K Annually
Senior level
In-Office or Remote
3 Locations
224K-357K Annually
Senior level
Design, develop, integrate, test, and productize perception software for autonomous driving systems. Responsibilities include implementing robust and reusable software components, deploying deep neural network models to embedded real-time platforms, developing verification plans, debugging systems, maintaining documentation, and analyzing real or synthetic benchmark data. The role requires close collaboration with perception engineers and researchers throughout the software development lifecycle.
The summary above was generated by AI

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, 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 never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. Now, NVIDIA’s GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world.

We are now looking for a passionate Software Engineer to design, develop, and productize NVIDIA's autonomous driving solutions. As a member of our perception team, you will build world-class perception solutions. You will design and implement perception SW component and be challenged to improve robustness, efficiency, reusability of the software component working closely with the world class perception engineers and researchers.

What you'll be doing:

  • Execute full software development life cycle (SDLC).

  • Write well-designed, testable code.

  • Integrate perception (but not limited) software components into a fully functional software system.

  • Develop software verification plans and quality assurance procedures.

  • Document and maintain software functionality.

  • Solve, debug and upgrade existing systems.

  • Stay in sync with project plans and industry standards

  • Deploy state-of-the art perception DNN models to embedded platforms.

  • Analyze and improve the system using both real and synthetic benchmark data.

What we need to see:

  • BS, MS or PhD in Computer Science or related fields (or equivalent experience).

  • Proven work experience (12+ years) on embedded platforms for real-time applications as a Software Engineer or Software Developer

  • Strong programming skills in C++ and Python.

  • Experience with test-driven development.

  • Experience with disciplined, design based approach to software development.

  • Proficiency in software engineering tools.

  • Ability to document requirements and specifications.

  • Outstanding communication and collaboration skills as we work as a tightly-knit team, always discussing and learning from each other.

Ways to stand out from the crowd:

  • Experience with CUDA / SIMD

  • Hands on background in deploying DNN models to embedded platforms for real-time applications.

  • Hands-on experience in using simulated / synthetic data to improve accuracy of machine learning models.

  • Background with deep learning framework (e.g., TensorFlow, PyTorch, etc).

  • Experience with integration and testing on real hardware / robotic platforms

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 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 22, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

Similar Jobs

25 Days Ago
In-Office or Remote
Senior level
Senior level
Aerospace • Automation
Architects and deploys multimodal 2D/3D object detection and tracking models using camera, LiDAR, and radar data. Owns perception data collection, dataset development, evaluation pipelines, production monitoring, and the perception system roadmap. The role also requires cross-functional leadership and mentoring junior engineers.
Top Skills: 2D/3D Object DetectionAutonomous VehiclesCameraComputer VisionDeep LearningEvaluation Metrics PipelinesLidarMachine Learning DatasetsModel DeploymentMulti-Modal PerceptionObject TrackingPythonRadar
An Hour Ago
Remote
USA
223K-279K Annually
Senior level
223K-279K Annually
Senior level
Consumer Web • Healthtech • Professional Services • Social Impact • Software
Own the Supervisory Billing product end to end, including strategy, roadmap, revenue growth, state and payer expansion, operational scaling, and new product development. Lead cross-functional initiatives to expand the addressable market, improve efficiency for thousands of customers and appointments, and launch concepts such as a supervisor-supervisee marketplace.
An Hour Ago
Remote or Hybrid
United States
179K-273K Annually
Expert/Leader
179K-273K Annually
Expert/Leader
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Leads People Analytics enablement and BI strategy, overseeing semantic models, certified data products, metric governance, data foundations, advanced analytics enablement, demand prioritization, and adoption. Partners with People Analytics, IT, and HR Strategy teams to create trusted workforce data, reusable semantic assets, and decision-ready insights. Manages teams and operating models while driving data quality, governance, certification, self-service analytics, AI access, and scalable insight delivery across the enterprise.
Top Skills: APIsArtificial IntelligenceBusiness Intelligence (Bi)Data GovernanceMachine LearningSemantic Modeling

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account