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Software Engineering Manager - Computer Vision Driver

  • Full Time, onsite
  • NVIDIA Corporation
  • Remote On Site, United States of America
Salary undisclosed

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NVIDIA leads the world in artificial intelligence, autonomous vehicles, and deep learning. We deliver real-time AI to cars and robots through vertically integrated products like our DRIVE AV self-driving car software and through platforms like Jetson robotics that support broader ecosystems. A key part of these stacks is computer vision and video processing: the AI needs to see the world, and that in turn requires preprocessing gigabytes of camera data into things AI can consume. Make the preprocessing faster and you enable ever more powerful AI flows. Enter our VIC (Video and Image Compositor) team, whose mission is offloading CV preconditioning to a dedicated hardware unit, one workload at a time. The VIC hardware unit is a dedicated 2D accelerator used for image and video processing, which sits at the front of Autonomous Vehicle, AI, and Robotics pipelines - to offload work from the GPU.

We are looking for a hands-on manager to turbo charge the VIC system software feature roadmap and build out the team to support it. If you can picture yourself leading world class engineers, engaging with the camera, autonomous vehicle, robotics and perception teams to solve difficult challenges, come join us!

What you'll be doing:
  • Define a strategy and roadmap to offload computer vision preconditioning (ensure images are free from sensor artifacts before we use it for AI compute) from the GPU to the VIC IP block. Take our current technology, connect to all markets where it can help, and evolve it.
  • Lead the VIC software team to develop user-space APIs, add new functionality to the user mode driver, and program the VIC firmware.
  • Look ahead to market opportunities and influence VIC engine functionality in future hardware and software designs
  • Collaborate across team boundaries to understand customer use cases and drive VIC adoption
  • Enabling critical safety systems in self-driving vehicles and robots by adhering to standards such as ISO 26262 and ASPICE

What we need to see:
  • Masters in CS/ECE/EE or equivalent experience in imaging science, computer vision or similar fields, with 7+ years of overall experience
  • 4+ years of management or senior technical leadership experience
  • Proven record of taking products to market
  • Expert knowledge of embedded software and system architecture
  • Proficient in crafting technical roadmaps, planning, and implementing our products
  • Hands-on technical leadership to model and nurture a professional engineering culture motivated by first-principles analysis, integrity, and pride in craftsmanship.
  • Proven ability to plan and execute projects on time and on budget
  • Excellent communication, presentation, and analytical skills to explain challenges, solutions, and tradeoffs clearly and simply to customers
  • Strong collaborative and interpersonal skills, able to exert influence within a dynamic and highly matrixed organization

Ways to stand out from the crowd:
  • Innovative leadership, resulting in first-of-kind products, patents, process improvements
  • Ability to foresee market trends and proven track record to influence product designs to anticipate future customer needs
  • Knowledge of automotive and or robotics standards for safety and security. Track record of delivering products that conform to a given safety or security standard.

#LI-Hybrid

The base salary range is 220,000 USD - 419,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.
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