3 часа назад
New Graduate Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
New Graduate Software Engineer (AI): Building low-level software and infrastructure for an AI-accelerated platform with an accent on systems programming, hardware interfaces, networking, and distributed systems. Focus on debugging, performance optimization, system bring-up, and developing reliable, scalable tools across hardware, firmware, compiler, and infrastructure layers.
Location: Hybrid role based in Toronto, Ontario, Canada, or Sunnyvale, California, United States
Company
builds large-scale AI hardware and an integrated software platform for high-speed model training and inference.
What you will do
- Collaborate with experienced engineers on systems programming and infrastructure challenges.
- Design, implement, test, and debug software affecting system performance and reliability.
- Develop low-level components that interact with hardware and networking infrastructure.
- Participate in debugging, performance optimization, and system bring-up.
- Build tools and infrastructure that improve observability, reliability, and scalability.
- Work cross-functionally with hardware, firmware, compiler, and infrastructure teams.
Requirements
- Recently graduated or currently enrolled in Computer Science, Computer Engineering, Electrical Engineering, or a related university program, with graduation in 2026.
- Proficiency in C and C++.
- Interest or exposure to systems or socket programming, networking, embedded systems, operating systems, device drivers, distributed systems, or network performance.
- Willingness to work closely with hardware and networking systems and learn low-level engineering concepts.
- Strong communication, collaboration, attention to detail, and learning skills.
Nice to have
- Experience with Linux systems programming or debugging tools.
- Familiarity with TCP, RDMA, RPCs, Wireshark, and packet-trace tools.
- Exposure to device drivers, embedded systems, distributed infrastructure, concurrent programming, or performance optimization.
- Interest in large-scale AI infrastructure and accelerated computing systems.
Culture & Benefits
- Work on an AI platform designed beyond the constraints of GPU-based systems.
- Opportunities to publish and open-source AI research.
- Work with a high-performance AI supercomputer.
- Job stability combined with startup vitality.
- Simple, non-corporate culture focused on individual beliefs, learning, growth, and inclusion.
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