Graphics R&D Engineer: GPU Rendering & PoC Expert

Bolt Graphics, Inc.

Sunnyvale (CA)

On-site

USD 150,000 - 220,000

Full time

5 days ago
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Benefits offered by this job

Medical, Dental & Vision - 100% paid
Stock options
401(k) match
WFH hardware reimbursement

Job summary

Bolt Graphics, Inc. in Sunnyvale, CA is seeking highly skilled Graphics R&D Engineers focused on rendering algorithms, hardware-based ray tracing, and performance modeling.

You will perform in-depth research, evaluate approaches, and translate concepts into efficient computational models for benchmarking with hardware architects. The successful candidate will hold an advanced degree in physics, mathematics, or computer science, and will collaborate across teams to define PoC features, set system

Qualifications

  • Advanced degree (Master’s or PhD) in Physics, Mathematics, Computer Engineering, Computer Science, or a related field with a strong focus on algorithms and scientific computing.
  • Proficient in advanced calculus, discrete mathematics, and modeling of physical phenomena.
  • Experience with rendering algorithms and graphics research.

Responsibilities

  • Perform in-depth research and analysis on rendering algorithms.
  • Translate rendering concepts into discrete, computationally friendly models.
  • Conduct competitive analysis (tools, algorithms, performance benchmarks) and report findings to leadership.
  • Collaborate with the Hardware Architect to define PoC features and systems requirements.
  • Provide performance estimations and benchmarking data throughout the project.

Skills

C
C++
Python
Algorithms
Math

Education

Master's or PhD in Physics, Mathematics, Computer Engineering or Computer Science

Tools

GPU acceleration
FPGA

Job description

Bolt Graphics, Inc. in Sunnyvale, CA is seeking highly skilled Graphics R&D Engineers focused on rendering algorithms, hardware-based ray tracing, and performance modeling.

You will perform in-depth research, evaluate approaches, and translate concepts into efficient computational models for benchmarking with hardware architects. The successful candidate will hold an advanced degree in physics, mathematics, or computer science, and will collaborate across teams to define PoC features, set system

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