Top 355 Data engineer Jobs in South San Francisco, Ca

Senior Staff Data Center Operations Engineer, GPU Hardware Architecture
Crusoe —San Francisco, CA
- $179,000 - $218,000 a year
- Full-time
- Bachelor of Science
- Analysis skills
- Training & development
- Commuter assistance
- Paid parental leave
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ASSOCIATE, DATA ENGINEER
Cresset Capital —San Francisco, CA
- $85,000 - $110,000 a year
- Computer Science
- Mid-level
- AWS
- Health savings account
- Disability insurance
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Data Engineer
DocuSign —San Francisco, CA
- $132,700 - $206,800 a year
- Hybrid work
- Computer Science
- 5 years
- Mid-level
- Paid parental leave
- Paid holidays
12d
Data Engineer, Human Cohorts
CALICO —South San Francisco, CA
- $191,000 - $195,000 a year
- Azure
- Computer Science
- Bachelor of Science
Data Engineer- Data Science Focus, Ads Science Analysis & Tech (ASAT)
Amazon.com Services LLC —Palo Alto, CA
- $111,400 - $185,000 a year
- Full-time
- Bachelor's degree
- Fair chance
- 1 year
- AD&D insurance
- Health insurance
Data Engineer
Air Apps —San Francisco, CA
- $111,000 - $196,000 a year
- Full-time
- Mid-level
- SQL
- 4 years
- Disability insurance
- Health insurance
Data Engineer
Tarro —San Mateo, CA
- $180,000 - $350,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 5 years
Data Engineer, Safeguards
Anthropic —San Francisco, CA
- $320,000 - $405,000 a year
- Hybrid work
- Mid-level
- Office
- 8 years
- Parental leave
- Flexible schedule
Data Engineer
Punch Agency —San Francisco, CA
- From $150,000 a year
- Full-time
- Computer science
- Computer Science
- Office
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Data Engineer
BXGI —Palo Alto, CA
- Email
- Computer science
- Bachelor of Science
- Mid-level
Senior Data Engineer, MLOps [Remote-US]
Quanata —San Francisco, CA
- $213,000 - $300,000 a year
- Online Application
- Remote
- Java
- Bachelor's degree
- Travel
- Paid parental leave
- Health insurance
Quick Apply
Senior Data Engineer [Remote-US]
Quanata —San Francisco, CA
- $215,000 - $300,000 a year
- Online Application
- Remote
- 6 years
- SQL
- Analysis skills
- Paid parental leave
- Health insurance
Quick Apply
Data Engineer
Anthropic —San Francisco, CA
- $320,000 - $405,000 a year
- Hybrid work
- 5 years
- Office
- SQL
- Parental leave
- Flexible schedule
Data Engineer, GCS Data Science
Google —San Francisco, CA
- $106,000 - $151,000 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
6d
Data Engineer
Regard —San Francisco, CA
- $160,000 - $190,000 a year
- Full-time
- Hybrid work
- Background check
- Computer science
- Computer Science
- Health insurance
- Dental insurance
Quick Apply
Data Engineer
Fieldwire —San Francisco, CA
- $120,000 - $150,000 a year
- Remote
- Mid-level
- 2 years
- Communication skills
Quick Apply
13d
Data Analytics Engineer
Parafin —San Francisco, CA
- $180,000 - $220,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Analysis skills
- Commuter assistance
- Paid parental leave
12d
Data Engineer
Stuut —San Francisco, CA
- $135,000 - $190,000 a year
- Full-time
- System design
- Mid-level
- 3 years
- Health insurance
- Dental insurance
Sr. Data Engineer, Data Analytics & Reporting
Tatcha —San Francisco, CA
- $150,000 - $160,000 a year
- Remote
- 8 years
- SQL
- Continuous improvement
- Paid holidays
- Disability insurance
Data Engineer
Candid Health —San Francisco, CA
- $165,000 - $205,000 a year
- Full-time
- Computer Science
- Bachelor of Science
- Writing skills
- Health insurance

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Senior Staff Data Center Operations Engineer, GPU Hardware Architecture

Crusoe -
San Francisco, CA

Quick Apply

Job Details

Full-time
$179,000 - $218,000 a year

Benefits

Commuter assistance
Paid parental leave
Health savings account
Paid holidays
Disability insurance
Dental insurance
RSU
Tuition reimbursement
Paid time off
Cell phone reimbursement
Parental leave
Vision insurance
401(k) matching
Volunteer time off
Life insurance

Qualifications

AI models
Data Center Operations
Thermal analysis
Fluid dynamics
Data center experience
Machine learning/AI-based analysis
Requirements specification
Requirements design
Tooling
Thermal control
High-performance computing clusters
Reliability analysis
Infrastructure architecture design
System design for system development
IT monitoring tools
Computer hardware
Team training
Requirements analysis
Hardware support
Design engineering
Monitoring system implementation
Technical training
Training & development
Cross-functional collaboration
Hardware diagnostics
Mechanical knowledge
Cross-functional communication

Full Job Description

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.

We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.

We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.

If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.

The Mission

Crusoe is building the world’s most climate-aligned AI infrastructure. As we scale toward unprecedented power densities and liquid-cooled architectures, the gap between "Data Center Design" and "Silicon Reality" must be bridged.

We are seeking a Senior Staff Data Center Operations Engineer, GPU Hardware Architecture to be the definitive technical authority on GPU platforms within the Data Center Engineering and Operations organization. Your mission is twofold: act as the primary technical consultant to our Data Center Engineering team to ensure future facilities are built for next-gen silicon, and provide the Operations team with the specialized tooling, SOPs, and predictive strategies needed to maintain peak cluster health.

The Strategic Bridge

For DC Engineering: You are the internal consultant. You translate upcoming GPU power/thermal roadmaps (NVIDIA/AMD) into design requirements for our next-generation facilities.
For Site Operations: You are the "Technical Enabler." You develop the diagnostic tools and technical SOPs that enable field technicians to resolve complex GPU issues with surgical accuracy.
For Sourcing: You are the "Technical Strategist." You define the technical sparing requirements and site-level inventory needs based on hardware failure telemetry.

Key Responsibilities

Engineering Education & Design Support: Provide deep-dive technical guidance to the Data Center Engineering team on upcoming silicon (e.g., NVIDIA Blackwell/Rubin, AMD MI350/400). Ensure future facility designs for power, cooling, and rack-spacing are ready for 2000W+ per-chip densities.
Predictive Operations & Telemetry: Leverage AI/ML methodologies to analyze fleet-wide telemetry (power draws, thermal gradients, and error rates). You will lead the transition from reactive troubleshooting to predictive maintenance, identifying "pre-failure" patterns in HBM or NVLink components before they impact customer training runs.
Technical Sparing Architecture: Architect the site-level sparing strategy from a technical perspective. Use failure telemetry and MTBF data to define the "Critical Spares List" and stocking levels required at each site to meet cluster uptime targets, providing these requirements to Sourcing for execution.
Operational Tooling & SOPs: Build the "Operational Blueprint" for the field. Create precision SOPs for high-stakes GPU repairs (e.g., baseboard swaps, manifold maintenance) and develop diagnostic tooling that allows Site Ops to identify NVLink flapping, PCIe degradations, or thermal throttling.
Advanced Troubleshooting & RCA: Act as the Tier-3 escalation point for the most complex hardware failures in the production environment. Lead Root Cause Analysis (RCA) on systemic issues that span the boundary between hardware and facility environmental factors.
Silicon Roadmap Authority: Maintain a 24-month forward-looking view of NVIDIA and AMD architectures. Educate internal stakeholders on how transitions in HBM4, interconnect speeds, and liquid-cooling will impact Crusoe’s physical infrastructure.
Vendor & VAR Technical Lead: Support the technical relationship with OEMs and VARs. Audit their hardware builds, review their technical bulletins, and ensure their hardware roadmaps align with Crusoe’s operational and engineering standards.

Technical Requirements

Silicon & Fabric Mastery: Expert-level knowledge of NVIDIA (Hopper/Blackwell/Rubin) and AMD (Instinct) architectures. Mastery of the physical and logical layers of NVLink, NVSwitch, and InfiniBand.
Infrastructure Bridge-Building: Ability to translate "Silicon Data Sheets" into "Mechanical Engineering Requirements." You can explain how a GPU's specific heat-load profile affects CDU sizing and secondary loop design.
Data-Driven Diagnostics: Proficient in Python, Go, or Bash to build telemetry and health-check tools (utilizing DCGM and ROCm). Experience using large datasets or basic ML frameworks to build "Smart Monitoring" that filters critical health signals from noise.
Operational Reliability Analysis: Experience using failure telemetry to inform site-level sparing requirements and field-service workflows.
Thermal Management: Deep understanding of the operational realities of Direct-to-Chip (D2C) cooling, including fluid dynamics, pressure-drop curves, and the lifecycle of dripless couplings.

Qualifications

10+ years in Hardware Engineering, Systems Architecture, or Data Center Infrastructure.
The "Consultant" Mindset: Proven track record of educating and influencing cross-functional teams (specifically Engineering and Operations).
GPU Authority: You have managed or architected GPU clusters at scale (thousands of nodes) at a hyperscaler, a GPU-specialized cloud, or a major silicon vendor.

Education: B.S. or M.S. in Electrical Engineering, Computer Engineering, or a related technical field.

Benefits:

Competitive compensation
Restricted Stock Units
Paid time off & paid holidays
Comprehensive health, dental & vision insurance
Employer contributions to HSA account
Paid parental leave
Paid life insurance, short-term and long-term disability
Professional development & tuition reimbursement
Mental health & wellness support
Commuter benefits (parking & transit)
Cell phone stipend
401(k) Retirement plan with company match up to 4% of salary
Volunteer time off

Compensation Range

Compensation will be paid in the range of up to $179,000 -$218,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. (#INDDIG)

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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data engineer jobs in south san francisco, ca

Senior Staff Data Center Operations Engineer, GPU Hardware Architecture

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