Systems Engineer

Company: Dedalus Labs
Location: San Francisco CA (on-site 5 days per week; relocation support available)
Compensation: $180000 - $.5% - 1% equity
Employment Type: Full-time
Visa Sponsorship: Visa transfers and new sponsorship (H-1B TN) for candidates already in the US

Dedalus Labs is building the compute substrate for an agent-native economy. Its flagship product Dedalus Machines gives AI agents fast persistent virtual computers that boot in under 50 milliseconds and run long-lived stateful workloads that never sleep. The platform also includes an MCP gateway and Agents SDK that unify the fragmented agent ecosystem behind a single API.

Founded in 2025 and a Y Combinator (S25) company Dedalus Labs has about 8 people in San Francisco and has raised $11M led by Kindred Ventures and co-led by Saga Ventures.

Dedalus Labs is hiring a Systems Engineer with depth in OS and kernel internals virtualization file systems or distributed infrastructure. You will work at the lowest layers of the stack (kernel hypervisor storage networking) and own entire subsystems end to end on an 8-person team where your work ships to production immediately. New grads with an exceptional body of work and experienced engineers (3-6 years) are both welcome; the CTO invests heavily in growing engineers who ramp fast.

• Build core compute and runtime primitives for long-running stateful AI agents including virtualization sandboxing and isolation for secure multi-tenant workloads.
• Own subsystems end to end (storage scheduling networking virtualization) and ship them to production.
• Design persistent state snapshotting and recovery mechanisms for always-on agent workloads with the CTO.
• Drive sandbox startup latency below 50ms and optimize every syscall and scheduling decision in the critical path.
• Build distributed storage layers schedulers and networking infrastructure that scale across data centers.
• Profile debug and benchmark systems under real-world scale latency correctness and reliability constraints.
• Contribute to the roadmap for on-prem GPU clusters and model training infrastructure.

• End-to-end ownership of a technically ambitious systems project in production open source or research
• Proficiency in Rust Go C or C for low-level systems programming (Rust preferred)
• Depth in OS/kernel internals file systems networking or low-level memory management
• A verifiable body of work: open-source contributions (e.g. kernel patches) systems papers technical blogs or substantial GitHub activity
• A bachelors degree or equivalent rigorous program
• Evidence of exceptional drive (competitive programming hackathon wins competitive sports technical writing or talks)
• Ability to work on-site in San Francisco 5 days a week

• Virtualization hypervisors KVM Firecracker or container runtimes
• Distributed storage replication consensus or consistency models
• GPU infrastructure or AI/ML systems (training clusters on-prem GPU setup)

0.5% - 1% equity; relocation support (flights plus 6 months of rent covered).

Behavioral and culture-fit screen (30 min) technical interview with the CTO (1 hour; may be merged with the screen for strong candidates) optional paid work trial (about 3 days) offer within days of a positive signal.

Rust Go C C Linux KVM Firecracker hypervisors Kubernetes Docker distributed systems file systems kernel development CUDA GPU infrastructure AWS EC2 networking storage

REVENUE: 15.74% of first-year salary. Est. fee per hire $28K-$47K; 2 seat(s) up to $76K if all filled.

TARGET COMPANIES (client (Stripe/Tesla/AWS named) suggested): AWS (Firecracker/EC2) Cloudflare Modal E2B Stripe Tesla.

BEST-FIT CANDIDATE: 0-12 (new grad to 6) yrs; low-level systems ownership end to end; Rust/Go/C/C; OS/kernel/FS/networking depth; verifiable body of work; visa: transfers new H-1B/TN (already in US); location: SF 5 days. Degree required. Prefers startup or Stripe/Tesla/AWS-type background; screen for agency and fast ramp.