Every listing shows a published salary. Filter by role, country, remote work or seniority. Updated 13h ago.
Run AI factory validation tools, microbenchmarks, and workloads provided by the team, and interpret results to assess system health and performance. Gain a comprehensive understanding of the system from start to finish, including network topology, interconnects, and compute.
Define high-level SoC subsystem architecture for LPU products. Convert LPU product requirements into architectural specifications for uncore, IO, memory, firmware-facing, boot, reset, safety, fault tolerance, diagnostic, and power regulation subsystems.
Ability to resolve sophisticated customer concerns and technical issues through meticulous research, reproductions, and solving problems for customers installing our products and supporting systems using Linux Operating Systems (multi-distro), with the focus on NVIDIA Ethernet…
Define ICT capability, hardware design requirements, and board debug capabilities, enabling structural testing at Texas CM sites. Optimize structural test plans to identify SMT, PCB, and component issues early.
Track the cutting edge: How are agentic systems evolving? You'll follow research in tool use, planning, memory, evaluation, self-improvement, multi-agent workflows, runtime infrastructure, and agent safety/security.
Design and evaluate routing policies for LLM traffic to best use mixture of model systems. Build and run agentic benchmarks (e.g., Terminal-Bench ) to measure algorithm quality, and turn results into calibration data and routing profiles.
Provide onsite support for large datacenter deployments of NVIDIA AI solutions. Solving complex hardware and deployment issues.
Analyze the effect of different compilers and compiler optimizations on HPC application performance. Evaluate whether and how the compiler and runtime can improve the performance of key HPC applications on CPU and CPU/GPU platforms.
Developing software to enable efficient network design, deployment and day 2 management. Building product focused software solutions, used by internal and external customers.
Develop and sustain strong technical knowledge in quantum workloads important to the federal research community.
Lead customer engagement and business development activity with a major Silicon Valley account. Build strong strategic connections with customers' R&D teams to gain insight into customers' software, networking, and accelerated computing requirements.
Develop workflows for experimental processing/analysis and numerical simulations with applications in imaging science, plasma and high energy physics, and material science.
Define the product features, capabilities, value proposition, positioning, and roadmap based on market analysis and customer feedback. Work closely with engineering to set requirements, priorities and drive integration with complementary NVIDIA software products.
Deploying, managing, and validating High-Performance Storage infrastructure within AI Factory Linux-based environments. Acting as the domain expert during customer planning calls through implementation phases.
Define and evolve the technical approach for evaluating and improving open agent harnesses across frameworks, models, and benchmark environments.
Working with NVIDIA Cloud Partners and OEMs in Public Sector on large data center GPU server and networking system deployments. Guide customer discussions on network design, compute/storage, and support bring up of server/network/cluster deployments.
Meet or exceed assigned sales quota across state and local government accounts. Build and execute territory and account plans that create sustainable revenue growth.
Execute full software development life cycle (SDLC). Write well-designed, testable code. Integrate perception (but not limited) software components into a fully functional software system. Develop software verification plans and quality assurance procedures.
Institution and Government Engagement: Serve as a trusted advisor to university and occasionally, state government leaders, communicating NVIDIA's vision, technology roadmaps, and research impact.
Working in a product research environment where we place big bets on where the future is heading, adapting in real time as we build alongside an industry that is constantly evolving with us.
Serve as a trusted advisor who understands complex or large-scale customer workloads and maps them to NVIDIA’s technology stack to achieve measurable outcomes.
Lead, mentor, and develop a team of Account Managers serving General Accounts across Federal, state and local government, higher education, and research.
You will be responsible for all aspects of strategy creation and implementation, forecasting, sales account management, training and education to a select number of enterprise customers. Be the key point of contact and relationship owner for a defined set of banking customers.
Be pivotal in ensuring the safety of our AI-based autonomous system software. Engage with a diverse team of engineers across the entire DRIVE platform and related research unit.
USA
Canada