HPC Software Engineer

Bolt Graphics•Sunnyvale, CA

7d•$165,000 - $300,000

About The Position

We are seeking a talented and experienced HPC Software Engineer to develop and optimize high-performance computing solutions for complex, computationally intensive applications. The role is suited to engineers with deep expertise in C/C++, parallel computing, and performance engineering, and strong mathematical, analytical, and problem-solving skills. The company is particularly interested in senior-level engineers with 7–10+ years of experience, including Principal Engineers. The engineer will build and maintain HPC applications for workloads such as physics simulations, fluid dynamics, molecular dynamics, and scientific computing. The work spans software design and implementation, CPU and GPU optimization, performance analysis, systems- and compiler-level improvements, research, and technical leadership. The role also contributes to software architecture, technical design decisions, code reviews, and engineering best practices.

Requirements

At least 5 years of experience in HPC environments such as supercomputing, FinTech, national laboratories, or hyperscale computing.
Strong expertise with HPC software development tools, libraries, and frameworks, including OpenMP, TBB (oneTBB), and CMake.
Experience with HPC use cases such as physics simulations, fluid dynamics, and 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.
Comfort 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.

Nice To Haves

Bachelor’s or Master’s degree in Applied Mathematics, Electrical Engineering, Computer Engineering, Computer Science, Physics, or a related field.
Senior-level experience: 7+ years; Principal-level experience: 10+ years.
Experience with Julia, assembly language, LLVM, compiler infrastructure, or compiler optimization.
Experience developing software for supercomputers, large-scale compute clusters, or hyperscale infrastructure.
Proven track record of leading complex projects from concept to completion.
Excellent verbal and written communication skills, including the ability to mentor engineers, influence technical decisions, and collaborate effectively with cross-functional local and global teams.
Background in scientific computing, numerical methods, computational physics, fluid dynamics, molecular dynamics, or large-scale simulations.
U.S. citizenship preferred.

Responsibilities

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 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.