6 дней назад
R&D Engineer (HPC)
150 000 - 220 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
R&D Engineer (HPC): Researching high-performance computing algorithms and translating advanced mathematical concepts into computationally efficient models with an accent on scientific computing, physical-phenomena modeling, and performance analysis. Focus on defining proof-of-concept features with hardware architects, conducting competitive benchmarking, and guiding system requirements for graphics processors.
Location: Sunnyvale, California, United States
Compensation: $150,000–$220,000 per year
Company
is a semiconductor startup developing high-performance and efficient graphics processors for immersive content creation, simulation, and consumption.
What you will do
- Research and analyze existing high-performance computing algorithms.
- Translate advanced mathematical concepts, including calculus, into discrete computational models.
- Evaluate competing tools, algorithms, and performance benchmarks, and present findings to leadership.
- Collaborate with hardware architects to define proof-of-concept features and system requirements.
- Provide performance estimates and benchmarking data throughout projects.
Requirements
- Advanced degree, such as a Master’s or PhD, in physics, mathematics, computer engineering, computer science, or a related field.
- Strong expertise in algorithms, advanced calculus, discrete mathematics, and modeling physical phenomena.
- Programming experience or familiarity with Python or Julia.
- Ability to communicate research findings clearly to technical and non-technical leadership.
- Experience with scientific computing.
Nice to have
- Exposure to hardware acceleration, HPC, or GPU/FPGA technologies.
- Startup experience.
- Government clearance.
Culture & Benefits
- Medical, dental, and vision premiums fully covered.
- Stock options.
- 401(k) matching.
- Work-from-home hardware.
- Culture centered on professionalism, integrity, respect, adaptability, fearless experimentation, and collaborative learning.
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