Staff Software Engineer, Robust.AI
Computer Vision, Embedded Systems and CUDA
+ Stock options
Office located in San Carlos, CA
Industrial-grade cognitive engine for robotics
Open for applications
Industrial-grade cognitive engine for robotics
21-100 employees
Open for applications
+ Stock options
Office located in San Carlos, CA
21-100 employees
Company mission
To make robots work for people.
Role
Who you are
- 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.)
Desirable
- 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 the job involves
- 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
- 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
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Company
Funding (last 2 of 3 rounds)
Apr 2023
$20m
SERIES A
Oct 2020
$15m
SERIES A
Total funding: $42.5m
Our take
Increasing complexity in supply chains and demand has meant manufacturing and logistics are incorporating more robotics and automation. These systems, however, can be cumbersome, costly, and brittle, meaning it’s difficult for them to adapt to new demand. Robust’s solution is a platform enabling rapid, no-code setup of robotic transport systems in warehouses to help transport materials and tools.
The idea is that these robots work with, not instead of, human workforces - and it’s just the first slate of applications for Robust’s deeper tech. The aim is to develop an all-purpose cognitive engine that will produce robots that can make decisions in open-ended environments.
The potential applications for a common-sense cognitive platform are sweeping, even if Robust’s beginnings are fairly modest. It’s planning to build out its own datasets and pursue strategic alliances with companies across different verticals - it’s already in conversation with iRobot for application of its AI layer in homes, for example.
With the heavy-hitting founding team of robotics veterans at the helm, Robust is making painstaking and careful progress in what is growing to be a multi-billion dollar global robotics industry. It will be interesting to see how its tech progresses.
Steph
Company Specialist at Welcome to the Jungle