Senior System Software Engineer - Sensor Integration

Posted 2 Days Ago
Santa Clara, CA
Mid level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Senior System Software Engineer will work on integrating proximity sensing and positioning solutions for NVIDIA's automotive systems. Responsibilities include collaborating with global teams, developing software solutions, debugging sensor data pipelines, and evaluating vendor products for system integration.
Summary Generated by Built In

We are now looking for a Senior engineer to join our system software engineering team working on architecting, evaluating and integrating proximity sensing and positioning solutions to NVIDIA's automotive platforms and products. You will participate in a focused effort to develop and productize software solutions for our platforms. Are you a software engineer passionate, highly motivated about solving complex problems and thrive in a collaborative environment? If so, you may be a perfect fit for our group!

What you'll be doing:

  • As a member of sensors system software team, you will actively collaborate with our global engineering teams to evaluate and integrate outstanding sensor solutions to NVIDIA platform. 

  • Engage with vendors to understand their products and identify best fit for the requirement. Participate in discussions to craft the integration architecture with a focus on overall system performance.

  • Develop and deliver necessary systems software following the best industry practices and product life cycle defined by NVIDIA. Review teammates code using your expertise to produce top notch software.

  • Collaboratively debug sophisticated sensor data pipelines that span across various layers of the hardware and software stack.


What we need to see:

  • BS or MS degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.

  • 3+ years of experience in systems software development on embedded operating systems.

  • Excellent C, C++ and python programming skills. Your expertise in coding, debugging, measuring and improving quality of implementation by defining key performance indicators is important to your success in this role.

  • Hands on experience integrating and bringing up automotive sensors like Ultrasonics, GNSS, V2X, and debugging with relevant simulators/equipments.

  • Good understanding of Linux or QNX operating systems. Experience in debugging complex system software issues.


Ways to stand out from the crowd:

  • Hands on experience with embedded s/w debugging tools like JTAG, Oscilloscope, Logic analyzer.

  • Experience in integrating and delivering automotive ECU software using AUTOSAR.

  • Knowledge of automotive communication bus / protocols.

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.

The base salary range is 148,000 USD - 276,000 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.

Top Skills

C
C++
Python
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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