Crusoe

3 days ago

Principal Engineer, CAPE

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Build Crusoe’s self-driving Conductor control plane by designing the systems that predict, decide, and remediate failures in a fleet of tens of thousands of accelerators. You’ll own unified observability, fleet-wide scheduling and health models, closed-loop autonomy, and goodput optimization—linking GPU/HPC telemetry, network fabrics, storage, and multi-tenant security to real-time power and cost controls.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Mid level

Key Responsibilities

•Build a unified observability plane correlating GPU, networking (InfiniBand/RoCE), storage, orchestration, and workload signals for fast diagnosis and recovery.
•Create fleet-wide autonomy so the system predicts, decides, and remediates with no human in the loop (drain, checkpoint, replace, resume).
•Optimize goodput by continuously trading scheduling, placement, and maintenance decisions against a goodput objective function.
•Forecast failures hours ahead using GPU and hardware telemetry and pre-emptively migrate work.
•Implement energy-aware compute and fleet digital-twin approaches to ensure safe, zero-trust, fully auditable multi-tenancy operations.

Pay and Benefits

Salary: USD 285,000 - 335,000

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionEquityParental Leave401kPaid LeaveLife InsuranceMeal AllowanceHsa

Key Requirements

•10+ years building infrastructure-layer systems at scale (fleet management, distributed control planes, scheduler internals, or hardware lifecycle automation).
•Deep experience with distributed systems design including consensus and state reconciliation, with closed-loop automation operating against live production infrastructure.
•Hands-on fluency with GPU/HPC infrastructure: GPU health telemetry, NVLink/InfiniBand/RoCE fabrics, plus thermal and power behavior.
•Experience designing and shipping large-scale observability or telemetry platforms that correlate signals across compute, network, and storage layers.
•Strong software engineering fundamentals in at least one systems language (Go, Rust, C++ or similar) and experience applying ML/statistical methods to noisy operational telemetry (plus).

Experience:10+ years

Skills:Problem-solvingOpportunity-findingSense of urgencyComfort operating in ambiguityJudgment

Tech Stack:GoRustC++InfiniBandRoCENVLinkHPCGPUMLStatistical methods

Company Brief

Crusoe

Builds vertically integrated, energy-first AI infrastructure and purpose-built AI data centers (Crusoe Cloud), leveraging clean/stranded energy to power large-scale GPU compute for AI training and inference.

Industry: Data Centers

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Decacorn (USD 10B+)

Funding: Series E+

Headquarters: Denver, United States

Founded: 2018

Glassdoor: 3.7

Website LinkedIn Glassdoor

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Crusoe

3 days ago

Principal Engineer, CAPE

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Mid level

Key Responsibilities

•Build a unified observability plane correlating GPU, networking (InfiniBand/RoCE), storage, orchestration, and workload signals for fast diagnosis and recovery.
•Create fleet-wide autonomy so the system predicts, decides, and remediates with no human in the loop (drain, checkpoint, replace, resume).
•Optimize goodput by continuously trading scheduling, placement, and maintenance decisions against a goodput objective function.
•Forecast failures hours ahead using GPU and hardware telemetry and pre-emptively migrate work.
•Implement energy-aware compute and fleet digital-twin approaches to ensure safe, zero-trust, fully auditable multi-tenancy operations.

Pay and Benefits

Salary: USD 285,000 - 335,000

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionEquityParental Leave401kPaid LeaveLife InsuranceMeal AllowanceHsa

Key Requirements

•10+ years building infrastructure-layer systems at scale (fleet management, distributed control planes, scheduler internals, or hardware lifecycle automation).
•Deep experience with distributed systems design including consensus and state reconciliation, with closed-loop automation operating against live production infrastructure.
•Hands-on fluency with GPU/HPC infrastructure: GPU health telemetry, NVLink/InfiniBand/RoCE fabrics, plus thermal and power behavior.
•Experience designing and shipping large-scale observability or telemetry platforms that correlate signals across compute, network, and storage layers.
•Strong software engineering fundamentals in at least one systems language (Go, Rust, C++ or similar) and experience applying ML/statistical methods to noisy operational telemetry (plus).

Experience:10+ years

Skills:Problem-solvingOpportunity-findingSense of urgencyComfort operating in ambiguityJudgment

Tech Stack:GoRustC++InfiniBandRoCENVLinkHPCGPUMLStatistical methods

Company Brief

Crusoe

Industry: Data Centers

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Decacorn (USD 10B+)

Funding: Series E+

Headquarters: Denver, United States

Founded: 2018

Glassdoor: 3.7

Website LinkedIn Glassdoor