4 of 4 Permanent NVIDIA Jobs in Cambridge

Robotics Software Engineer - C++/ROS2

Hiring Organisation
Redline Group Ltd
Location
Cambridge, Cambridgeshire, England, United Kingdom
Employment Type
Full-Time
Salary
£45,000 - £70,000 per annum
C++ (C++14 or later) Hands-on expertise with ROS2 (Robot Operating System 2). Experience integrating software with embedded or edge computing hardware (e.G. NVIDIA Jetson/Xavier). Exposure to ROS1 migration, simulation tools (e.G. Gazebo, RViz), and project tracking tools such as Jira. This role offers a competitive

Robotics Software Engineer - C++/ROS2

Hiring Organisation
Redline Group Ltd
Location
Cambridge, Cambridgeshire, East Anglia, United Kingdom
Employment Type
Permanent
Salary
£70,000
C++ (C++14 or later) Hands-on expertise with ROS2 (Robot Operating System 2). Experience integrating software with embedded or edge computing hardware (e.G. NVIDIA Jetson/Xavier). Exposure to ROS1 migration, simulation tools (e.G. Gazebo, RViz), and project tracking tools such as Jira. This role offers a competitive

Embedded Engineer

Hiring Organisation
Arrow Electronics
Location
Cambridge, Cambridgeshire, UK
Employment Type
Full-time
products developed and 40M deployments in 140 countries, eInfochips continues to fuel technological innovations in multiple verticals. eInfochips has strategic technology partnerships with Qualcomm, NVIDIA, NXP, Analog Devices, Texas Instruments, Amazon, Microsoft and Google to name a few. Along with Arrow's $27B in revenues, 19,000 employees

Principal Software Architect, GPU Networking Research

Hiring Organisation
NVIDIA
Location
Cambridge, Cambridgeshire, UK
Employment Type
Full-time
NVIDIA has been defining computer graphics, PC gaming, and accelerated computing for more than 25 years. With an outstanding legacy of innovation, driven by phenomenal technology, and extraordinary people, NVIDIA is looking for a strong technical principal architect to join us in shaping the future. Principal Architects are innovators … deep learning solutions, data analytics, High Performance Computing (HPC), Software Defined Networking (SDN), virtualization, storage, and more. What You'll Be Doing Enhance NVIDIA's future GPU Networking offerings for accelerating AI workloads. Lead vision, architecture and design of such technologies. Lead proof-of-concept development to evaluate and drive