R&D Engineer

Bolt Graphics

$150K — $220K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Advanced degree (Master's or PhD) in Physics, Mathematics, Computer Engineering, Computer Science, or related field with a focus on algorithms and scientific computing.
  • Proficient in advanced calculus and discrete mathematics.
  • Experience in modeling physical phenomena.
  • Familiarity with programming languages Python or Julia.
  • Ability to communicate complex findings to technical and non-technical audiences.
  • Exposure to hardware acceleration, HPC, or GPU/FPGA technologies is a plus.
  • Previous experience in a startup environment is desirable.

Responsibilities

  • Conduct research and analysis on existing high-performance computing (HPC) algorithms.
  • Translate complex mathematical concepts into computationally efficient models.
  • Perform competitive analysis of tools, algorithms, and performance benchmarks.
  • Collaborate with hardware architects to define proof-of-concept features.
  • Provide performance estimations and benchmarking insights throughout project phases.

Benefits

  • 100% premium coverage for Medical, Dental, & Vision insurance.
  • Equity through stock options.
  • 401(k) matching contributions.
  • Work-from-home hardware provided.
Full Job Description
About the role:

We're looking for highly skilled R&D Engineers with expertise in algorithms, mathematical modeling, and scientific computing. The R&D Engineer will perform in-depth research on high-performance computing algorithms, evaluate competitive approaches, and help translate complex mathematical concepts into computationally efficient models.

This role requires close collaboration with hardware architects and leadership to define proof-of-concept features, provide benchmarking insights, and guide system requirements with a focus on performance. The ideal candidate has an advanced academic background in physics, mathematics, computer engineering, computer science, or a related field, with demonstrated experience in algorithms, modeling of physical phenomena, and programming for scientific computing.

What you'll do:

  • Perform in-depth research and analysis on preexisting HPC algorithms.
  • Translate advanced mathematical concepts (e.g. calculus) 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.

Qualifications:

  • Education/Experience: 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.
  • Algorithm & Math Expertise: Proficient in advanced calculus, discrete mathematics, and modeling of physical phenomena.
  • Programming: Familiarity with Python/Julia (highly preferred)
  • Communication: Ability to clearly articulate research findings to both technical and non-technical leadership.
  • Exposure to hardware acceleration, HPC, or GPU/FPGA technologies is beneficial.
  • Startup experience
  • Government clearance is preferred

Compensation Range: $150,000-$220,000 per year (California). This range represents the anticipated base pay for this role; the final offer may vary based on qualifications, experience, and location.

Benefits:

  • Medical, Dental, & Vision - 100% covered premiums
  • Equity - Stock Options
  • 401(k) match
  • WFH Hardware


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