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Data Compute Jobs in California (NOW HIRING)

Wayve

Principal Engineer, Data & Compute

Sunnyvale, CA · Hybrid

$370K - $418K/yr

Achieving this requires unprecedented scale in both data infrastructure and compute orchestration. Our workloads span thousands of GPUs, petabytes of driving data, and geographically distributed ...

INFINITY AIR INC

Business Analyst - Tarzana

Tarzana, CA · On-site

$23 - $28/hr

You will compile data, compute charges, and prepare invoices. We offer competitive rates, paid vacation & holidays, medical, dental & vision insurance, and matching 401K. Responsibilities: * Perform ...

Applied Compute

Head of Compute

San Francisco, CA · On-site

As Head of Compute Partnerships, you'll own the sourcing, economics, and strategic positioning of ... We've built RL infrastructure at OpenAI, data foundations at Scale AI, and systems at Together, Two ...

Gary Cardiff Enterprises, Inc.

Be Seen First

Accounting Assistant

Palm Desert, CA · On-site

$20 - $28/hr

You will compile data, compute charges, and prepare invoices. Responsibilities: * Calculate costs of goods and services * Advanced phone and computer skills * Distribute invoices for sales review

America Koryo Inc

Accounting Clerk

Riverside, CA · On-site

$32K - $35K/yr

You will compile data, compute charges, and prepare invoices. Responsibilities: * Calculate costs of goods and services * Track and record deliveries to customers * Distribute invoices for sales ...

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Data Compute information

What is a data compute?

A Data Compute job involves managing and optimizing computational resources for processing large datasets. Professionals in this role work with cloud platforms, distributed computing frameworks, and high-performance computing (HPC) systems to ensure efficient data processing. They collaborate with data engineers and scientists to enhance performance, scalability, and cost-effectiveness of computational workloads.

What does a data compute do?

In a Data Compute role, your daily tasks may include designing and monitoring data pipelines, running large-scale data processing jobs, and maintaining the integrity and performance of compute infrastructure. You'll frequently collaborate with data scientists, engineers, and analysts to ensure datasets are accessible and optimized for analysis. Troubleshooting data processing bottlenecks, implementing automation solutions, and optimizing cloud or on-premises resources are also common aspects of the job. This role involves a mix of hands-on technical work and strategic planning to support data-driven decision-making across the organization.

What are the key skills and qualifications needed to thrive in the data compute position, and why are they important?

To thrive as a Data Compute professional, you need strong analytical abilities, expertise in data processing, and a relevant degree in computer science, statistics, or a related field. Familiarity with big data platforms (such as Hadoop or Spark), programming languages like Python or SQL, and certifications in cloud computing or data analytics are commonly expected. Attention to detail, problem-solving aptitude, and effective communication are crucial soft skills in this position. These skills are vital for ensuring accurate data interpretation, optimizing compute resources, and collaborating efficiently with other teams.

What are popular job titles related to Data Compute jobs in California?

For Data Compute jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Compute jobs in California look for?

The top searched job categories for Data Compute jobs in California are:

What cities in California are hiring for Data Compute jobs?

Cities in California with the most Data Compute job openings:

Data Compute jobs near you
Infographic showing various Data Compute job openings in California as of August 2026, with employment types broken down into 76% Full Time, 17% Part Time, and 7% Contract. Highlights an 100% In-person job distribution.

Principal Engineer, Data & Compute

Wayve

Sunnyvale, CA • Hybrid

$370K - $418K/yr

Full-time

Re-posted 24 days ago

Job description

The Role
  • At Wayve, we are teaching machines to drive-not by coding rules, but by training end-to-end neural networks that learn from vast streams of real-world data. Achieving this requires unprecedented scale in both data infrastructure and compute orchestration. Our workloads span thousands of GPUs, petabytes of driving data, and geographically distributed training and inference clusters.
  • As Architect for AI Infrastructure, you will design and guide the evolution of the foundational compute and storage systems that fuel our model development lifecycle. Your leadership will directly accelerate AI research, enable rapid model deployment, and ensure our platform meets the demands of a company pushing the boundaries of autonomy.
  • You'll sit at the strategic core of AI, systems, and cloud infrastructure-owning challenges that few companies have the ambition or scale to tackle.
Key Responsibilities
  • Global Compute Strategy - Define and evolve the architecture for how Wayve allocates and orchestrates training and inference workloads across thousands of GPUs and multiple data centers, ensuring optimal throughput, resiliency, and cost efficiency.
  • Petabyte-Scale Data Federation - Design systems that enable fast, reliable access to high-volume sensor and simulation data across geographies, ensuring the right data is always available for training, evaluation, and inference. Furthermore, preparing Wayve for being an exabyte-scale company.
  • Cross-Region GPU Job Execution - Build the foundations that enable large-scale AI workloads to run seamlessly across hybrid and multi-cloud environments.
  • Cloud Infrastructure Advisory - Act as a trusted partner to leadership in aligning compute investments and architecture with company strategy, growth plans, and performance goals.
  • Technical Leadership & Mentorship - Uplift the broader engineering org through architectural coaching, technical deep dives, and by cultivating a culture of operational and engineering excellence.
About You  

In order to set you up for success at Wayve, we're looking for the following skills and experience.  

Essential 

  • 10+ years designing and building large-scale distributed systems, with at least 4 years focused on GPU-based cloud infrastructure.
  • Proven experience enabling large-scale AI training, inference, or computer vision workloads in GPU clusters.
  • Deep understanding of petabyte-scale data architecture, including storage federation, high-throughput access, and data locality for AI workloads.
  • Strong technical leadership with a track record of defining and communicating architectural strategy, balancing long-term vision with delivery needs.
  • A natural mentor with a history of developing engineers and influencing technical direction across teams.
  • Advanced degree in Computer Science, Electrical Engineering, or a related field-or equivalent industry experience.

Desirable 

  • Experience with multi-cloud orchestration, particularly in latency- or cost-sensitive training and inference pipelines.
  • Familiarity with systems like Ray, Kubernetes, Airflow, or Flyte, and deep fluency in AI/ML job scheduling, model lifecycle management, and infrastructure-as-code practices.
  • Background in supporting safety-critical or real-time inference use cases (e.g., robotics, autonomous vehicles, aerospace).
  • Passion for building infrastructure-as-a-product that delivers performance and simplicity to research and product teams alike.

This is a full-time role based in-office.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.   This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $370,300 to $418,200, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

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