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Research Engineer - CUDA Kernel Engineering

VoltaiVoltai·Energy Technology

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~7 min

Ashby

Posted

220 days

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About the role

About Voltai
Voltai is developing world models, and agents to learn, evaluate, plan, experiment, and interact with the physical world. We are starting out with understanding and building hardware; electronics systems and semiconductors where AI can design and create beyond human cognitive limits.

About the Team

Backed by Silicon Valley’s top investors, Stanford University, and CEOs/Presidents of Google, AMD, Broadcom, Marvell, etc. We are a team of previous Stanford professors, SAIL researchers, Olympiad medalists (IPhO, IOI, etc.), CTOs of Synopsys & GlobalFoundries, Head of Sales & CRO of Cadence, former US Secretary of Defense, National Security Advisor, and Senior Foreign-Policy Advisor to four US presidents.

About the Role

You will develop, integrate, and optimize state-of-the-art CUDA kernels to power AI models that accelerate semiconductor design and verification. Your work will enable large-scale model training, inference, and reinforcement learning systems that reason about circuit layouts, generate and validate RTL, and optimize chip architectures — running efficiently across thousands of GPUs.
You’ll build tools, performance benchmarks, and integration layers that push the limits of GPU utilization for compute-intensive workloads in AI-driven hardware design. Working closely with researchers and engineers, you’ll help make Voltai the world’s leading AI + semiconductor research organization. You’ll also release your kernels and tooling as contributions to the open-source AI and HPC ecosystems.

You might thrive in this role if you have experience with

  • Writing and optimizing CUDA kernels for large-scale AI workloads (attention, routing, graph-based operations, physics-inspired operators, etc.)

  • Profiling and optimizing GPU performance for custom compute or memory-bound workloads

  • Integrating custom kernels into cutting-edge training and inference frameworks (e.g., PyTorch, Megatron, vLLM, TorchTitan)

  • Working with the latest NVIDIA hardware and software stacks (Hopper, Blackwell, NVLink, NCCL, Triton)

  • Building GPU-accelerated primitives for graph reasoning, symbolic computation, or hardware simulation tasks

  • Collaborating with AI researchers and semiconductor experts to translate domain-specific workloads into high-performance GPU code

Skills & Tags

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Aplyr's read

Voltai is an energy tech innovator specializing in electric vehicle charging. Ideal for tech-savvy professionals passionate about sustainable energy solutions.

Synthesized from recent postings & public sources

What's promising

  • Voltai is at the forefront of electric vehicle charging technology.
  • The company offers diverse engineering roles, indicating robust R&D investment.
  • Voltai's focus on sustainability aligns with growing global energy trends.

What to watch

  • Highly competitive industry with rapid technological changes.
  • Limited public information about financial stability and long-term growth.
  • Potential for high-pressure work environment due to fast-paced innovation demands.

Why Voltai

  • Voltai's niche in electric vehicle charging sets it apart from broader energy tech firms.
  • The company emphasizes cutting-edge roles like Computational Scientist and CUDA Kernel Engineering.
  • Voltai's European expansion suggests a commitment to global market presence.

Aplyr’s read is generated by AI from public sources. Was it useful?

03

About Voltai

Voltai is a technology company focused on developing innovative solutions in the energy sector, particularly in electric vehicle charging and energy management.

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