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 an extraordinary Senior software Engineer in multi-sensor fusion for obstacle perception to develop and productize NVIDIA's autonomous driving solutions. As a member of our perception team, you will work on building world class solutions for the obstacle perception by tracking and fusing multiple frames from multiple sources of detections. You will be challenged to improve robustness and accuracy as well as efficiency of the solutions to fully enable autonomous driving anywhere and anytime.
What You'll Be Doing:
Design and develop a robust tracking and fusion algorithm that improves the accuracy and consistency of the detection of dynamic obstacles, moving or stationary, such as vehicles, VRUs, cones and barrels, and road hazards.
Identify and analyze the strength and weakness of the developed obstacle perception and fusion under complicated and diverse scenarios.
Productize the developed perception solutions by meeting product requirements for safety, latency, and SW robustness.
Define and develop meaningful performance metrics for the perception of dynamic obstacles, which guide the algorithm iterations and prevent regression with large-scale offline data sets.
What We Need To See:
PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
Experience in related fields of SW development, with the most recent 5+ years of hands-on work experience in developing perception and fusion algorithms to solve sophisticated real world problems.
Familiar with common data association and fusion algorithms.
Experience in data-driven development and collaboration with data and ground truth teams.
Strong programming skills in modern C++.
Outstanding communication and teamwork skills as we work as a tightly-knit team, always discussing and learning from each other.
Ways To Stand Out From The Crowd:
Proven expertise in developing perception solutions for autonomous driving or robotics.
Hands-on experience in Camera, Radar, Lidar and/or ultrasonic sensors.
Background in multi-view geometry and occupancy grid tracking is a plus, but not required.
NVIDIA has some of the most forward-thinking and hardworking people in the world. 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 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.
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.Skills Required
- PhD with 4+ years, MS with 6+ years, or BS with 8+ years of relevant experience in Computer Science, Computer Engineering, or related field.
- 5+ years recent hands-on experience developing perception and fusion algorithms for real-world problems.
- Familiarity with common data association and fusion algorithms.
- Experience in data-driven development and collaboration with data and ground-truth teams.
- Strong programming skills in modern C++.
- Outstanding communication and teamwork skills.
- Proven expertise in developing perception solutions for autonomous driving or robotics.
- Hands-on experience with Camera, Radar, Lidar and/or ultrasonic sensors.
- Background in multi-view geometry and occupancy grid tracking.
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”
