1 month ago
Base Salary
$170k - $205k/yr
Responsibilities
- Design and execute system performance benchmarks to analyze behavior and identify bottlenecks.
- Develop and implement low-level optimizations within the Linux kernel.
- Write and maintain high-performance code using Go, C, C++, or Rust.
- Tune data plane performance for cloud infrastructure supporting AI workloads.
- Troubleshoot complex system issues to improve reliability and scalability.
- Collaborate with Software Infrastructure, Product, and other engineering teams.
- Document technical practices and share knowledge across the team.
Requirements
- Deep expertise in Linux system internals and kernel-level programming.
- Expert-level proficiency in Go, C, and C++; Rust experience is a strong asset.
- Demonstrated hands-on experience with performance tuning, benchmarking, and optimization in complex environments.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
- Experience or exposure to the artificial intelligence and cloud ecosystem and standard industry tooling.
- Strong communication and cross-functional collaboration skills.
- Preferred qualifications include Rust development, high-scale cloud or infrastructure engineering, performance-critical infrastructure beyond the kernel layer, and low-level performance analysis and tracing tools.
Benefits
- Competitive compensation and equity packages, including Restricted Stock Units.
- Paid time off, paid holidays, and leave of absence programs.
- Comprehensive health, dental, and vision insurance.
- Employer HSA contributions and paid parental leave.
- Paid life insurance and short- and long-term disability coverage.
- Professional development, tuition reimbursement, and mental health and wellness support.
- Commuter benefits, cell phone stipend, and a 401(k) plan with company match up to 4% of salary.
- Volunteer time off, global travel insurance, emergency assistance, daily meal allowance, and location-specific perks.
About Crusoe
Crusoe builds and operates GPU-powered data centers and an AI cloud platform for enterprises running large-scale AI training and inference. It vertically integrates energy supply with compute, using stranded and renewable power to reduce emissions and costs, and sells capacity via cloud services and managed infrastructure. Founded in 2018 and headquartered in Denver, the company is privately held.