Performance Research Engineer (Staff-Principal) - AI-Driven Opt

Efficient Computer; Pittsburgh, San Jose (Allegheny County, CA); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

401K match

Company-paid benefits

Equity program

Paid parental leave

Flexibility

Job summary

Efficient Computer in Pittsburgh is seeking a Performance Research Engineer to develop cutting-edge hardware/software co-design. This critical role focuses on optimization techniques, working collaboratively with architecture teams while offering the chance to make a significant impact on performance libraries.

With a competitive salary between $180,000 to $250,000, the successful candidate will be part of a passionate team tasked with advancing next-generation performance libraries and applications. A Master’s degree is required, with a preference for PhD holders.

Qualifications

• Hands-on software development experience working closely with hardware.
• Experience with framework and library design in resource-constrained environments.
• Familiarity with low-level programming interfaces like PTX and LLVM IR.

Responsibilities

• Research new optimization techniques and design tools for AI-assisted optimization.
• Collaborate with architecture teams on future hardware design.
• Evaluate code-generation quality and suggest new intrinsics.

Skills

Software development experience with RISC, DSP or GPU platforms

CUDA, HIP and/or parallel programming models

Low‑level programming in C/C++

AI tool usage for code generation

Collaboration with multiple engineering teams

Education

Master’s degree in Computer Science or related field

Tools

HW simulation environments

Job description

Efficient Computer in Pittsburgh is seeking a Performance Research Engineer to develop cutting-edge hardware/software co-design. This critical role focuses on optimization techniques, working collaboratively with architecture teams while offering the chance to make a significant impact on performance libraries.

With a competitive salary between $180,000 to $250,000, the successful candidate will be part of a passionate team tasked with advancing next-generation performance libraries and applications. A Master’s degree is required, with a preference for PhD holders.