TL;DR

Software Engineer (ML Networking): Developing and optimizing network infrastructure software interfacing with ML accelerators and high-speed networks with an accent on kernel and user-space networking, network protocol design, and distributed system debugging. Focus on building low-level network software, optimizing congestion control, and solving complex network latency issues.

Location: Hybrid with at least 25% in office, San Francisco, USA

Salary: $315,000 - $560,000 USD annually

Company

%hirify_global% is a public benefit corporation focused on building reliable, interpretable, and steerable AI systems for societal benefit.

What you will do

Develop and maintain software interfacing between ML accelerators and high-speed networks
Optimize network protocols and congestion control algorithms for large-scale workloads
Debug kernel-level network latency and distributed system networking issues
Benchmark and build new networking environments and collective algorithms
Collaborate on system-level network infrastructure and performance improvements

Requirements

Must be able to work hybrid with at least 25% presence in San Francisco office
Bachelor's degree or equivalent experience required
Expertise in network protocols, kernel and user-space networking technologies
Strong systems programming skills with experience in performance optimization
5+ years in systems or network programming
English proficiency at least B2 (job posting language)

Nice to have

Experience with ML accelerators and accelerator drivers
Knowledge of Rust programming language
Experience designing new network protocols and working with PCIe devices
Background in HPC, telecommunications, or OS/kernel engineering

Culture & Benefits

Competitive compensation including equity and benefits
Visa sponsorship available with immigration support
Generous vacation and parental leave
Flexible working hours and collaborative office environment
Focus on impactful AI research with diverse and inclusive team