Systems Research Engineer Intern

Who you are

• Strong background in GPU programming and parallel computing, such as CUDA and/or Triton
• Knowledge of ML/AI applications and models
• Knowledge of performance profiling and optimization tools for GPU programming
• Excellent problem-solving and analytical skills

What the job involves

• As a Systems Research Engineer Intern specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications
• Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems
• Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing
• Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation
• Optimize and fine-tune GPU code to achieve better performance and scalability
• Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems
• Stay up-to-date with the latest advancements in GPU programming techniques and technologies
• Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort's internship dates span either May 17th to August 6th or June 14th to September 3rd

Benefits

• Competitive health insurance plans
• Dental and vision insurance
• Pre-tax flexible spending accounts
• Mental health support and services
• Income protection & retirement
• 401(k) plan
• AD&D insurance
• Life insurance
• STD & LTD insurance
• Monthly team lunches
• Flexible time off policy
• Team-driven celebrations and events
• Monthly commuting stipend + pre-tax bene