HPC Software Engineer

Bolt Graphics is a semiconductor startup based in Sunnyvale, CA building the fastest and most efficient graphics processors. We pride ourselves on our first principles approach to solving problems. We are energized by our mission to reduce the barrier of entry for content creation and consumption. Our goal is to enable everyone to easily create, simulate and consume immersive experiences as vividly as they can imagine them.

• Be Fearless:
  Unmute yourself. Test boundaries and get proven right.
• Remain Adaptable:
  Stay comfortable in a continuously changing world. If you’re wrong, concede and move on.
• Educate Your Ego:
  Selflessly collaborate towards our shared purpose.

We are seeking a talented and experienced HPC Software Engineer to develop and optimize high-performance computing solutions for complex, computationally intensive applications. The ideal candidate will have 5+ years of experience in HPC environments, such as supercomputing, financial technology (Fin Tech), national laboratories, or hyperscale computing, with a strong preference for senior-level engineers with 7-10+ years of experience, including Principal Engineers.

You must have deep technical expertise in C/C++, parallel computing, and performance engineering with strong mathematical, analytical, and problem-solving skills. You should be passionate about solving challenging computational problems and developing high-performance solutions.

• Design, develop, and optimize high-performance software using C, C++, Python, and Linux-based development environments.
• Implement and optimize parallel computing algorithms for modern CPU and GPU architectures.
• Develop and optimize software by using parallel programming models and hardware acceleration technologies, including OpenMP, CUDA, SIMD, SIMT, AVX, and SVE.
• Analyze application performance, identify computational bottlenecks, and improve execution speed, memory efficiency, and scalability.
• Develop and maintain HPC applications supporting computationally intensive workloads, including physics simulations, fluid dynamics, molecular dynamics, and scientific computing.
• Improve code generation, execution efficiency, and hardware utilization by working at the systems and compiler level.
• Identify and mitigate potential risks and issues in HPC projects.
• Conduct research and experiments to drive continuous improvement and innovation in HPC architecture.
• Drive the development and implementation of new HPC features and technologies.
• Contribute to software architecture, technical design decisions, code reviews, and engineering best practices.

• Must have strong expertise with HPC software development tools, libraries, and frameworks, including OpenMP, TBB (oneTBB), and CMake.
• Experience with HPC use cases: physics simulations, fluid dynamics, molecular dynamics.
• Expert-level proficiency in C, C++, Python, and Linux.
• Strong understanding of parallel computing concepts, concurrency, multithreading, and performance optimization.
• Strong applied experience with CPU/GPU computing architectures and optimization techniques, including CUDA, AVX, SIMD, and SIMT.
• Strong mathematical, analytical, and problem-solving skills.
• Experience developing, profiling, debugging, and optimizing computationally intensive applications.
• Hands-on experience enabling software on GPUs.
• Comfortable working across abstraction layers from architecture concepts to implementation and debugging.
• Ability to work independently on complex engineering problems and collaborate effectively with distributed teams.
• Ability to collaborate with cross-functional teams to translate complex mathematical and computational requirements into efficient software solutions.

• Bachelor’s…