Deep Learning Compiler Engineer

For our client, we are seeking a Deep Learning Compiler Engineer to join the team of a leader in the Telecommunications & Hardware space.

This role will focus on compiler technologies that improve the performance and efficiency of advanced deep learning workloads on GPU-based systems. You will help shape low-level software that translates high-level programming models into optimized execution for modern hardware. The position also involves close collaboration with engineering teams to define APIs, improve developer workflows, and deliver robust solutions for highly performant compute environments.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $152,000 – $241,500 annually

Responsibilities

• Work on a tile-based programming model for GPUs
• Design and implement compiler transformations and optimizations
• Develop MLIR-based dialects and lowering passes
• Optimize performance of tile-based kernels for various GPU architectures
• Define public APIs and implement software engineering best practices

Qualifications

• Bachelor's, Master's, or Ph.D. in Computer Science, Computer Engineering, or a related field, or equivalent experience
• 3+ years of experience in compiler optimization and performance analysis
• Ability to define project goals independently and lead development efforts
• Excellent C/C++ programming and software design skills
• Strong interpersonal skills and a team-oriented attitude

Benefits

• Comprehensive benefits package including healthcare and retirement plans
• Opportunity to work with leading experts in cutting-edge technology fields
• Potential for equity compensation
• Engagement in impactful projects across the AI and deep learning community
• Access to state-of-the-art resources and tools

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.