Posted Aug 16

Nvidia is hiring a
Senior Systems Engineer, Embedded Imaging and Vision Systems

US, CA, Santa Clara • US, CA, Santa Clara • US, CA, Santa Clara
Full time

NVIDIA leads the world in artificial intelligence, autonomous machines, and deep learning. We deliver real-time AI to cars, robots, and medical devices through vertically integrated products like our DRIVE AV self-driving car software and through platforms like DRIVE OS that support broader ecosystems.. As NVIDIA's Imaging Software team, we provide the eyes that these intelligent systems use to perceive and change the world.

We are seeking a highly skilled and innovative Principal Engineer - Embedded Imaging & Vision Systems to join our team. Driving the design, development, and implementation of imaging and vision systems for embedded applications. With multiple opportunities to collaborate with multi-functional teams to build ground breaking solutions that leverage image processing algorithms, machine learning techniques, and hardware integration. Will play an impactful role in crafting our product offerings and driving the advancement of our technology.

What you will be doing:

  • Own the end-to-end design and development of embedded imaging and vision systems for ADAS, Robotics, and Industrial applications, collaborating with multi-functional teams to define requirements and specifications.

  • Architect and implement pioneering image processing algorithms, computer vision techniques, and machine learning models tailored for ADAS, Robotics, and Industrial use cases.

  • Design and optimize imaging pipelines, including camera interfaces, sensor integration, and hardware acceleration, considering real-time constraints, safety requirements, and industrial environmental conditions.

  • Stay at the forefront of emerging imaging technologies, computer vision algorithms, and machine learning advancements, applying them to improve our solutions and maintain a driven edge.

  • Provide technical leadership and mentorship to the engineering team, driving a culture of excellence, partnership, and continuous learning in ADAS, Robotics, and Industrial domains.

  • Lead and participate in code reviews, ensuring alignment to coding standards, and software quality requirements for safety-critical systems.

  • Conduct performance analysis, testing, and debugging of imaging and vision systems, addressing technical issues, optimizing system performance, and ensuring compliance with safety and regulatory standards.

  • Collaborate with product management and multi-functional teams to define and complete the strategic roadmap for imaging and vision solutions in ADAS, Robotics, and Industrial domains.

  • Engage with customers and partners, understanding their requirements, providing technical expertise, and supporting pre-sales activities, demonstrations, and customer deployments.

  • Contribute to the creation of intellectual property through patent filings, research papers, and technical publications, advancing the field of embedded imaging and vision for ADAS, Robotics, and Industrial applications.

What we need to see:

  • Master’s degree in electrical engineering, Computer Engineering, Computer Science, or a related field or equivalent experience.

  • 10+ years of extensive experience in crafting and developing embedded imaging and vision systems for ADAS, Robotics, and Industrial applications.

  • Strong expertise in image processing algorithms, computer vision techniques, and machine learning models relevant to ADAS, Robotics, and Industrial use cases.

  • In-depth knowledge of imaging sensors, camera interfaces, hardware integration, and system-level optimization for real-time, safety-critical systems.

  • Familiarity with industry standards and regulations such as ISO 26262 for automotive safety, MISRA, AUTSAR & ASIL levels

  • Proficiency in programming languages such as C/C++, Python, and expertise in embedded software development for ADAS, Robotics, and Industrial environments.

  • Strong understanding of real-time operating systems (RTOS), embedded software development tools, and version control systems.

  • Excellent leadership and interpersonal skills, with the ability to mentor and guide engineers, collaborate with multi-functional teams, and engage optimally with customers and collaborators.

  • Proven track record of technical leadership, innovation, and thought leadership in the field of embedded imaging and vision for ADAS, Robotics, and Industrial applications.

Ways to Stand Out from the Crowd:

  • Innovative leadership, resulting in first-of-kind products, patents, process improvements, business efficiency, and publications.

  • Strong understanding and working knowledge of machine learning algorithms and software packages (Torch, TensorFlow, Jax, FastAI, Keras, etc.)

  • Extensive cloud and data center based deep-learning experience

  • Experience with SoC development and embedded systems including DSPs, hardware accelerators, and multi-media pipelines.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you. Come, join our GPU Cloud Platform team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

The base salary range is $216,000 - $414,000. 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 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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