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Salary
$250k – $325k per year
Location
In office (San Francisco)
Seniority
Middle · 3+ years exp
Visa
Sponsorship offered in the posting
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Oct 29, 2026.

Overview
Company
Impact
Profile match
Headquartered in San Francisco, California, True Talent Solutions Partners is a specialized recruitment and talent acquisition consultancy partnering primarily with high-growth technology startups and venture-backed firms. The company focuses on sourcing and placing top-tier talent across core technical and business domains, including artificial intelligence, software engineering, product development, and executive leadership. Through tailored search strategies and direct collaboration with company founders, it helps emerging organizations rapidly scale their teams and build sustainable hiring pipelines.

About the Role

Join a GPU virtualization and cloud infrastructure team building low-level systems software for AI and machine learning workloads. You will help improve GPU utilization and platform performance through production C++ development and systems research.

What You'll Do

  • Develop and maintain the core C++ GPU virtualization library.

  • Research GPU oversubscription, checkpointing, and high-performance systems techniques.

  • Extend platform support to new GPU architectures, considering interactions across the system.

  • Debug systems-level issues in production environments.

  • Trace and diagnose performance problems in customer workloads.

What We're Looking For

  • At least 3 years of experience in C++ systems engineering, with deep C++ expertise or strong Rust experience and readiness to work in C++.

  • Production experience with low-level systems such as operating systems, kernels, memory management, or drivers.

  • Experience optimizing networking or NIC performance and tracing performance issues across system layers.

  • A record of shipping production software beyond academic research, ideally in an early-stage, fast-paced environment.

  • Strong computer science fundamentals and a degree in computer science or a related field.

  • Familiarity with compilers, networking protocols, kernels, Kubernetes, infrastructure, or distributed systems is valuable.

Compensation & Benefits

Base salary: $250,000 to $325,000 annually. Visa sponsorship is available.

Location

On-site in San Francisco, California, United States.

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