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Senior High Performance Computing Jobs in Spokane, WA

Sr Software Engineer

Liberty Lake, WA · On-site

$123K - $162K/yr

... Senior Software Engineer to contribute to the development of high-performance software for ... in high-performance computing (HPC), numerical computing, or ML inference optimization. • ...

Sr R&D Engineer

Spokane, WA · On-site

$40K/yr

JELD-WEN is currently seeking a Sr R&D Engineer to join our growing team. External PURPOSE OF ROLE ... JELD) is a leading global designer, manufacturer and distributor of high-performance interior and ...

JELD-WEN is currently seeking a Sr R&D Engineer to join our growing team. External PURPOSE OF ROLE ... JELD) is a leading global designer, manufacturer and distributor of high-performance interior and ...

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We have more than 70 years of industry experience in designing and manufacturing high-performance ... industrial, quantum computing, radars, railway, space, test and measurement, wireless ...

You'll be part of a collaborative, high-performance team that values your unique strengths and ... Wound Care, Senior Care, Urology, Dermatology, Podiatry, Internal Medicine, Infectious Disease ...

You'll be part of a collaborative, high-performance team that values your unique strengths and ... Wound Care, Senior Care, Urology, Dermatology, Podiatry, Internal Medicine, Infectious Disease ...

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Senior High Performance Computing information

See Spokane, WA salary details

$25.3K

$81.2K

$165.3K

How much do senior high performance computing jobs pay per year?

As of Aug 5, 2026, the average yearly pay for senior high performance computing in Spokane, WA is $81,180.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $104,100.00 per year, depending on experience, location, and employer.

What is the difference between Senior High Performance Computing vs High Performance Computing Engineer?

AspectSenior High Performance ComputingHigh Performance Computing Engineer
CredentialsBachelor's or Master's in Computer Science, often with certifications in HPCBachelor's or Master's in Computer Science or related field, with HPC experience
Work EnvironmentResearch labs, universities, large data centersData centers, research institutions, tech companies
Industry UsageAcademic, research, government projectsCommercial, research, technology sectors
Primary FocusLeadership in HPC projects, strategic planningDesigning, developing, optimizing HPC systems and applications

While both roles involve high-performance computing, Senior High Performance Computing professionals typically focus on leadership and strategic oversight, whereas High Performance Computing Engineers are more involved in technical development and system optimization. The roles often overlap in skills and environment but differ in scope and responsibilities.

What are popular job titles related to Senior High Performance Computing jobs in Spokane, WA? For Senior High Performance Computing jobs in Spokane, WA, the most frequently searched job titles are:
What job categories do people searching Senior High Performance Computing jobs in Spokane, WA look for? The top searched job categories for Senior High Performance Computing jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for Senior High Performance Computing jobs? Cities near Spokane, WA with the most Senior High Performance Computing job openings:

Sr Software Engineer

Positron AI

Liberty Lake, WA • On-site

$123K - $162K/yr

Full-time

Re-posted 29 days ago


Job description

Job Summary:
Positron AI specializes in developing custom hardware systems to accelerate AI inference, and they are seeking a Senior Software Engineer to contribute to the development of high-performance software for executing open-source large language models on their custom appliance. The role involves designing and implementing high-performance inference software, optimizing C++-based libraries, and collaborating with engineers to ensure efficient data movement between CPUs and FPGAs.
Responsibilities:
• Design and implement high-performance inference software for LLMs on custom hardware.
• Develop and optimize C++-based libraries that efficiently utilize SIMD instructions, threading, and memory hierarchy.
• Work closely with FPGA and systems engineers to ensure efficient data movement and computational offloading between x86 CPUs and FPGAs.
• Optimize model execution via low-level optimizations, including vectorization, cache efficiency, and hardware-aware scheduling.
• Contribute to performance profiling tools and methodologies to analyze execution bottlenecks at the instruction and data flow levels.
• Apply NUMA-aware memory management techniques to optimize memory access patterns for large-scale inference workloads.
• Implement ML system-level optimizations such as token streaming, KV cache optimizations, and efficient batching for transformer execution.
• Collaborate with ML researchers and software engineers to integrate model quantization techniques, sparsity optimizations, and mixed-precision execution.
• Ensure all code contributions include unit, performance, acceptance, and regression tests as part of a continuous integration-based development process.
Qualifications:
Required:
• 7+ years of professional experience in C++ software development, with a focus on performance-critical applications.
• Strong understanding of C++ templates and modern memory management.
• Hands-on experience with SIMD programming (AVX-512, SSE, or equivalent) and intrinsics-based vectorization.
• Experience in high-performance computing (HPC), numerical computing, or ML inference optimization.
• Experience with ML model execution optimizations, including efficient tensor computations and memory access patterns.
• Knowledge of multi-threading, NUMA architectures, and low-level CPU optimization.
• Proficiency with systems-level software development, profiling tools (perfetto, VTune, Valgrind), and benchmarking.
• Experience working with hardware accelerators (FPGAs, GPUs, or custom ASICs) and designing efficient software-hardware interfaces.
Preferred:
• Familiarity with LLVM/Clang or GCC compiler optimizations.
• Experience in LLM quantization, sparsity optimizations, and mixed-precision computation.
• Knowledge of distributed inference techniques and networking optimizations.
• Understanding of graph partitioning and execution scheduling for large-scale ML models.
Company:
Positron delivers vendor freedom and faster inference for both enterprises and research teams, by allowing them to use hardware and software explicitly designed from the ground up for generative and large language models (LLMs). Founded in 2023, the company is headquartered in Reno, USA, with a team of 11-50 employees. The company is currently Early Stage.