Performance Research Engineer (AI/ML Hardware)

Location: San Jose, CA or Pittsburgh, PA, United States

Salary: $180,000–$250,000 per year, plus equity and benefits.

Company

hirify.global develops an ultra-low-power, general-purpose processor for continuous AI/ML and intelligent IoT applications.

What you will do

• Research optimization techniques and design tools for AI-assisted optimization and performance analysis.
• Collaborate with architecture teams on future hardware and perform modeling experiments using an architecture simulator.
• Work with compiler engineers to evaluate code-generation quality, suggest intrinsics, influence the ISA, and experiment with language extensions.
• Integrate optimization techniques, tools, and language extensions into performance libraries.
• Develop performance libraries and applications for resource-constrained, real-time environments.
• Analyze performance issues related to Efficient’s Fabric dataflow architecture.

Requirements

• Hands-on software development experience working closely with hardware and exposure to at least two RISC, DSP, or GPU platforms.
• Strong C/C++ and systems-level programming skills, including debugging, maintenance, interface design, and modular code development.
• Experience with CUDA, HIP, or other parallel programming models, as well as hardware simulation environments.
• Experience designing frameworks and libraries for resource-constrained or real-time environments.
• Expertise in at least three relevant domains, such as linear algebra, ML, image or video processing, signal or audio processing, SDR, real-time programming, or robotics.
• Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field; PhD preferred. Equivalent experience accepted.

Nice to have

• Compiler development experience.
• Experience working with high-performance hardware architecture teams.

Culture & Benefits

• Competitive compensation with meaningful equity.
• 401(k) match and company-paid benefits.
• Paid parental leave.
• Flexibility and support for personal and professional development.