Robust.AI Logo

Robust.AI

Staff Software Engineer, Computer Vision, Embedded Systems and CUDA

Job Posted 7 Days Ago Posted 7 Days Ago
Be an Early Applicant
San Carlos, CA
Senior level
San Carlos, CA
Senior level
Develop and optimize software for advanced robotic perception systems on embedded hardware, collaborating with teams and ensuring efficient performance.
The summary above was generated by AI

About this role:


Any sufficiently advanced technology is indistinguishable from magic. We make cutting-edge solutions that feel as natural as breathing.


Pushing the boundaries of what’s possible, our team of industry veterans is raising the bar for autonomous and collaborative robots. We are developing and deploying, at scale, iconic people-centered robots. We know we have succeeded when customers ask why other robotic solutions don’t feel like ours — effortless, intuitive, and delightful. 


We believe that all machines that have physical actuators will soon be intelligent. In a sense, all machines will become intelligent robots, and Robust.AI’s software platform will power the intelligence of the world’s machines. As our Staff Software Engineer, Computer Vision, Embedded Systems and CUDA,  you will be developing software that makes this vision a reality.


Job Brief:


We are seeking a Staff Software Engineer to develop, deploy, and optimize advanced robot perception systems on integrated hardware. You will collaborate with a team of leading researchers and engineers in robotics and AI to build the next generation of robotics vision systems. The role focuses primarily on C++ and CUDA C, with an emphasis on embedded systems, particularly NVIDIA Jetson. Ideal candidates will have a strong background in robotics software development and software engineering.

Key Responsibilities:

  • Lead optimization efforts for on-robot software and coordinate across teams.
  • Collaborate with perception and robotics teams to develop, deploy, and optimize code for NVIDIA Jetson platforms.
  • Scale and refine cutting-edge research to ensure efficient performance on robotic compute and sensor systems.
  • Write clean, efficient, and well-tested code.
  • Create thorough documentation for seamless API understanding.

Essential Qualifications:

  • BS, MS, or PhD in Computer Science, Software Engineering, Electrical Engineering, or a related field.
  • 4+ years of experience in software engineering.
  • Expertise in C++ and CUDA C.
  • Proven ability to optimize software for NVIDIA Jetson platforms.
  • Excellent software engineering and algorithm development skills.
  • Familiarity with Nvidia’s edge inference ecosystem (VPI, TensorRT, Deepstream, Isaac ROS, GXF, etc.).

Desired Skills (one or more):

  • Experience optimizing 2D and 3D vision algorithms for NVIDIA Jetson (e.g., stereo vision, optical flow, detection, tracking, pose estimation).
  • Familiarity with deep learning algorithms and pipelines.
  • Experience with sensor calibration (both extrinsic and intrinsic), including multi-camera systems.
  • Proficiency with specialized libraries and frameworks (e.g., PyTorch, TensorFlow, OpenCV, PCL).
  • Experience with robotics system transport layers (e.g., ROS, GRPC, NATS, ZeroMQ).
  • Knowledge of inter-process communication over shared memory.
  • Experience with embedded Linux environments (such as Yocto).
  • Strong experience with multithreading and multithreading frameworks.

What we offer:

  • Stock options and huge growth potential
  • Strong startup (and fun) culture
  • Medical, Dental, and Vision coverage
  • Flexible vacation and sick leave practices
  • Paid parental leave

Robust AI fosters a culture of belonging and a shared commitment to equality and equity. Having a diverse set of perspectives is key to ensuring AI and robotics serve the needs of all.

Top Skills

C++
Cuda C
Grpc
Nats
Nvidia Jetson
Opencv
Pcl
PyTorch
Ros
TensorFlow
Yocto
Zeromq
HQ

Robust.AI San Carlos, California, USA Office

1050 Commercial St,, San Carlos, CA, United States, 94070

Similar Jobs

3 Hours Ago
Easy Apply
3 Locations
Easy Apply
Junior
Junior
Fintech • Mobile • Software • Financial Services
Responsible for developing high-performance front-end mobile features, optimizing user experience, and collaborating with cross-functional teams on the Invest product development lifecycle.
Top Skills: AgileAndroidCoroutinesFlutterGitiOSRest ApisRxStreams
3 Hours Ago
San Mateo, CA, USA
130K-200K Annually
Senior level
130K-200K Annually
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Productivity • Software • App development • Generative AI
Lead the development of mobile voice experiences as a Senior iOS Engineer, focusing on building scalable iOS apps using SwiftUI and Bluetooth connectivity.
Top Skills: AuthenticationBluetoothCloud ServicesDatabasesPush NotificationsSwiftSwiftui
5 Hours Ago
Hybrid
San Francisco, CA, USA
203K-298K Annually
Senior level
203K-298K Annually
Senior level
AdTech • Digital Media • News + Entertainment
The role focuses on building and maintaining ML infrastructure, collaborating with teams, mentoring engineers, and driving AI tool adoption within Disney's services.
Top Skills: C++JavaPythonScala

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account