Senior Robotics Systems Software Engineer - ROS

Reposted 9 Days Ago
Be an Early Applicant
Santa Clara, CA
In-Office
184K-357K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead the design and development of software for robotics, optimize ROS-based systems, and collaborate on integrating NVIDIA technologies. Require extensive experience in ROS and proficiency in C/C++.
Summary Generated by Built In

We are looking for a Senior Systems Software Engineer for our Robotics Team working on NVIDIA Isaac ROS. Modern robot development for the next wave of AI-powered physical agents is a three-computer problem leveraging accelerated compute for simulation, training, and edge inference. NVIDIA’s ISAAC platform binds together high-fidelity visual and physical simulation, a high-quality development platform, hundreds of optimized algorithms to tackle hard problems in computer vision and artificial intelligence, and a small but powerful computational platform to form the brain of intelligent machines. Our team consists of experts from all over the world and dozens of different fields, and together we want to change the way robots are programmed. We’re looking for someone to help energize the ROS ecosystem with accelerated computing to tackle the rigorous real-time demands of deploying complex, learned policy-driven robots.

What you’ll be doing:

  • Lead the design & development of software frameworks aimed at helping robots perceive and interact with the world through learned policies

  • Drive improvements with the open-source community to make ROS the de facto standard for robotics development

  • Debug and optimize ROS-based autonomy stacks from application to system-level drivers on NVIDIA platforms

  • Develop innovative ways to characterize and measure robotics software for functionality and performance

  • Collaborate with other teams to incorporate NVIDIA technologies

  • Manage issues during integration, testing, deployment & QA

What we need to see:

  • BS, MS in Computer Science, Robotics, or related field (or equivalent experience)

  • 8+ years of proven experience

  • Expertise with ROS (middleware, ecosystem, development, debugging tools)

  • Experience working in distributed systems and embedded software roles

  • Proficiency with data structures and core algorithms

  • Excellent C, C++ programming and design skills

  • Ability to learn fast & debug complex system issues

  • Flexibility to adapt quickly to varying roles & responsibilities

Ways To Stand Out from the crowd:

  • Engagement as contributor to the ROS framework, tools, or packages

  • Experience training behavior policies using Isaac Lab, Isaac Gym, MuJoCo, or similar

  • Strong grasp of deep learning applications for physical agents

  • Expertise with DDS, UCX, MQTT, or other middleware transport technologies

  • Background with software performance profiling and optimization

NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking and dedicated people in the world working here. If you want to help make robotics progress in challenging contexts, 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.

Applications for this job will be accepted at least until August 15, 2025.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.

#deeplearning

Top Skills

C
C++
Dds
Mqtt
Ros
Ucx
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The Company
HQ: Santa Clara, CA
21,960 Employees
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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