Developer Relations Manager, Higher Education and Research - Physics

Description

The team is looking for a Developer Relations Manager to work with research labs and speed up their adoption of the company's AI and computing platforms.

The role suits someone with deep technical skill, solid experience in research engagement, and a record of turning advanced technology into research results.

The position focuses on higher education and research in physics.

Responsibilities

• Serve as a technical advisor to research labs, finding high-impact workloads and helping put the company's frameworks, libraries, and core software stack into research projects.
• Map and regularly review the research ecosystem to spot institutional growth opportunities and shape long-term technology strategy.
• Read research papers across partner domains to anticipate new trends and guide future collaboration areas.
• Work with Research Account Managers, Solution Architects, and Business Development to enable researchers.
• Build closer relationships with lab staff, learning how their organizations work and the full range of research under way.
• Attend scientific conferences in your field and help the company take part alongside other subject matter experts.
• Bring researchers' feedback back inside the company as practical input for products, education programs, and platform roadmaps.

Requirements

• Hold a PhD in computer science, AI, machine learning, computational science, physics, or a closely related technical field, or show equivalent research depth.
• Have at least 3 years of experience.
• Have deep experience applying AI to a physics area such as computational or particle physics, astrophysics, plasma or fusion, quantum systems, materials science, climate or earth systems, or scientific simulation.
• Be fluent in AI methods used in physics, such as neural operators, surrogate models, physics-informed ML, differentiable simulation, simulation-based inference, generative modeling, and uncertainty quantification.
• Understand physics research workflows, including HPC simulation, numerical solvers, experimental and sensor data, large instruments, inverse problems, and GPU-accelerated scientific pipelines.
• Be able to discuss physical consistency, interpretability, numerical accuracy, reproducibility, simulation speedups, and scientific validity with leading physics and national lab researchers.
• Show research credibility through publications, open-source scientific software, academic or national lab collaborations, technical leadership, or hands-on work in AI for physics or computational science.

Conditions

Base salary depends on location, experience, and other objective job-related factors. Expected base pay is 152,000 USD to 241,500 USD for Level 3 and 184,000 USD to 287,500 USD for Level 4.

Applications will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

The company uses AI tools in its recruiting process.

The company is an equal opportunity employer and does not discriminate on any protected characteristic.

Benefits

• Optional: experience with the company technologies and platforms such as CUDA, CUDA-X libraries, the company AI Enterprise, NIM, NeMo/Nemotron, PhysicsNeMo, cuQuantum, Omniverse, Isaac, RAPIDS, TensorRT, Triton Inference Server, or DGX/accelerated computing systems.
• Optional: established relationships with leading academic labs, research institutes, national labs, or major open source research communities.
• Optional: a record of turning frontier research into demos, reference architectures, workshops, technical content, or developer enablement programs.
• Optional: experience presenting at academic conferences, research workshops, technical summits, or university-facing events.
• Optional: ability to spot emerging research trends and turn them into collaboration, platform adoption, and ecosystem growth opportunities.