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At Annapurna Labs, an Amazon company, we're not just participating in the AI revolution – we're accelerating it by designing custom silicon and revolutionary software systems that were considered impossible just yesterday, powering the world's most advanced AI infrastructure at AWS.

Requirements

• Experience programming languages such as C/C++, Python, Java or Perl
• Experience in two or more of the following areas: 1. Hardware design (RTL, Verilog, FPGA development) 2. Systems programming or low-level software development 3. Compiler design or optimization 4. Machine learning frameworks (PyTorch, JAX, TensorFlow) 5. Distributed systems or parallel computing 6. Performance analysis and optimization
• Previous industry, internship, research, or project experience in hardware/software co-design, ML systems, or computer architecture
• Contributions to open-source projects or research publications
• Completed or currently enrolled in coursework covering machine learning, parallel computing, computer architecture and/or compiler construction
• Hardware design (RTL, Verilog, FPGA development)
• Systems programming or low-level software development

Responsibilities

• Architect next-generation AI chips that process billions of parameters
• Build distributed systems that scale across thousands of accelerators
• Create compiler optimizations that make ML training blazingly fast
• Framework Optimization (PyTorch, JAX)
• Compiler Development & Optimization
• Distributed Training Systems
• Performance Engineering

Other

• Recent or upcoming graduate (within 12 months) with BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related technical field
• Work safely and cooperatively with other employees, supervisors, and staff
• Adhere to standards of excellence despite stressful conditions
• Communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service
• Follow all federal, state, and local laws and Company policies