Join NVIDIA's Solution Engineering team that is shaping the future of autonomous machines. Our goal is to build and deploy scalable robotic solutions and enable the next generation of AI robots. Our team is hands-on, passionate about practical results, and values diversity.
You will help craft the application software architecture by working closely with external partners developing on our robotics platform and the collaborations across multiple teams within NVIDIA working on autonomous machines. You will also advance and refine the overall functional capability and quality of our solution, focusing on integration challenges and applying deep analytical skills to tease through the complexity of the system to arrive to effective and optimum solutions.
What you'll be doing:
Build and drive the application architecture internally, with a focus on humanoid robotics, by collaborating closely with architecture and software development teams.
Scale the deployment and integration of robust and performant implementations of new technologies spanning whole body controller and manipulation algorithms into solutions and products.
Integrate hardware and software components efficiently and develop scalable software solutions. Lead profiling, benchmarking and evaluation activities for verification.
Provide deep technical guidance and strategies to resolve functional and system performance issues, working with internal and external partner teams.
Collaborate with our global engineering teams in our US, APAC, and Europe locations to deploy the solution to our customers.
What we need to see:
5+ years of work related experience in software development related to robotics.
Bachelors, Masters or equivalent experience in computer science, robotics, computer engineering, or a related field.
Proven track record in developing software products in the domains of machine learning and reinforcement learning, and hands-on physical robot experience, and/or publishing in robotics conferences (RSS, CoRL, ICRA, IROS, NeurIPS, etc.).
Established proficiency in application development and scalability for autonomous machines, and familiarity with robotics or automotive related middleware frameworks.
Experience with robot simulation platforms and simulation-based reinforcement learning for training and validation of robotic systems, with hands-on experience on sim-to-real transfer of RL policies being a plus.
Proficient in Python and C/C++, with experience in GPU programming or CUDA being a strong plus.
Capable of adapting quickly to new technologies and platforms.
Ability to adapt in a fast paced development lifecycles and multi-functional organizations.
Ways to stand out from the crowd:
Hands-on experience with real-world robotic systems and hardware of humanoid robots or mobile manipulator, particularly in loco-manipulation and dexterous hands manipulation tasks.
Experience with ROS 2, Isaac SIM and Isaac Lab or equivalent
Understanding of NVIDIA Isaac, NVIDIA GPU hardware, and CUDA
Contributions to or ownership of open-source project and mentorship experience.
You will also be eligible for equity and benefits.
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Lead on-device inference optimization at NVIDIA to deliver high-performance, production-ready AI models for autonomous vehicle and real-time systems.
Lead the creation and commercialization of NVIDIA's Sensor AI Platform as the founding Director of Product, uniting imaging, DSP, Holoscan Sensor Bridge and multimedia teams behind a unified SDK, API and partner ecosystem.
Temporary Software Engineer supporting research and clinical projects at St. Jude through software development, algorithm implementation, and end-user training.
Experienced application developer/analyst needed to design, code, test and support life product configuration and policy administration logic in a hybrid role based in Madison, WI.
Lead the design and implementation of a real-time conversation orchestration service (ASR → LLM → TTS) as a senior Python engineer focused on high-concurrency, low-latency production systems.
Tinder seeks a Staff Engineer, Applied AI to lead architecture and delivery of production AI applications (agents, RAG, bots, and integrations) that drive real product and business impact.
Booz Allen is hiring a Cloud Application Architect to lead cloud-native architecture and migration efforts supporting a USAF program, leveraging multi-cloud and IaC expertise to drive secure, scalable solutions.
3Y Health is hiring a Staff Backend Engineer to design, deploy, and operate scalable backend services that power its AI-driven healthcare platform.
Experienced software engineer needed to architect and build robust data platforms and pipelines that connect machine and business systems for Hadrian's autonomous factories.
Work on a mission-driven team at 3Y Health as a Senior Frontend Engineer to deliver polished, scalable React/TypeScript user interfaces that improve care delivery for independent providers.
Experienced DevSecOps Engineers are needed to build and operate secure, scalable containerized systems and CI/CD pipelines for a NATO ACT program with both onsite (Norfolk, VA) and remote opportunities.
Lead development of infrastructure monitoring, automation, and containerized deployments for Comcast's server and cloud platforms using Python, Go, Ansible, and Kubernetes.
Experienced distributed-systems engineer needed to lead architecture and development of Paxos' stablecoin and token issuance infrastructure, driving scalability, security, and cross-team technical excellence.
Lead the technical build and conversion optimization for a high-growth eCommerce brand across Shopify, Klaviyo, and WordPress to boost revenue and LTV.
Experienced software programmer needed to deliver secure, full-stack solutions for defense logistics systems, combining C#/.NET, T-SQL, reporting, and secure SDLC practices in a hybrid/remote role.
NVIDIA is a publicly traded, multinational technology company headquartered in Santa Clara, California. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI.
183 jobs