3 месяца назад
Sr. Software Development Engineer (HPC/ML Networking)
16 108 - 21 792$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Software Development Engineer (HPC/ML Networking): Developing collective operations and networking solutions to enable AI scaling across multiple accelerators and servers with an accent on low-level C/C++ and Linux kernel optimization. Focus on building high-performance interconnects for the largest AI clusters and models on AWS.
Location: Must be based in Cupertino, CA, USA
Salary: $193,300 - $261,500 annually
Company
Annapurna Labs, an integral part of AWS, develops critical hardware and software components that optimize EC2 infrastructure for AI/ML and HPC workloads.
What you will do
- Develop collective operations that enable AI to scale across multiple accelerators and servers.
- Build high-performance networking solutions for Machine Learning (ML) and High-Performance Computing (HPC) workloads on AWS.
- Collaborate in a mixed-discipline environment with hardware engineers, RTL engineers, scientists, and architects.
- Design and optimize low-level code using C/C++ and Linux kernels.
- Mentor junior engineers while working under the guidance of senior and principal-level leadership.
Requirements
- Location: Must be based in Cupertino, CA, USA
- 5+ years of professional software development experience (non-internship).
- Strong proficiency in C/C++ coding.
- 5+ years of experience leading the design and architecture of scalable and reliable systems.
- Comprehensive experience with the full software development life cycle, including code reviews and build processes.
- Proven experience as a mentor or tech lead.
Nice to have
- Bachelor's degree in Computer Science or equivalent.
- Experience with ML Communications such as NCCL, NIXL, or NVSHMEM.
- Knowledge of embedded systems.
- Experience with high-speed networking or HPC interconnects.
Culture & Benefits
- Flexible working hours and a core organizational tenet of respecting work-life balance.
- Opportunity to work on the forefront of AI/ML with the largest clusters and models.
- Comprehensive health insurance (medical, dental, vision, prescription).
- 401(k) matching, paid time off, and parental leave.
- Adoption and surrogacy reimbursement coverage.
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