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Data Compute Jobs in California (NOW HIRING)

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 ...

(USA)Staff, Data Scientist

Sunnyvale, CA · On-site

$143K - $286K/yr

Familiarity with large-scale data/compute: Spark, distributed training, feature stores, GPU workflows. * Experience building human-centered explainability : dashboards, driver decomposition, "why ...

(USA)Staff, Data Scientist

Milpitas, CA · On-site

$143K - $286K/yr

Familiarity with large-scale data/compute: Spark, distributed training, feature stores, GPU workflows. * Experience building human-centered explainability : dashboards, driver decomposition, "why ...

(USA)Staff, Data Scientist

Cupertino, CA · On-site

$143K - $286K/yr

Familiarity with large-scale data/compute: Spark, distributed training, feature stores, GPU workflows. * Experience building human-centered explainability : dashboards, driver decomposition, "why ...

(USA)Staff, Data Scientist

San Mateo, CA · On-site

$143K - $286K/yr

Familiarity with large-scale data/compute: Spark, distributed training, feature stores, GPU workflows. * Experience building human-centered explainability : dashboards, driver decomposition, "why ...

Large-scale Data/Compute: Experience with Spark, Feature Stores, and distributed training in a cloud environment (GCP/Azure). * Building Human-Centered AI: Dashboards for "driver decomposition" and ...

(USA)Staff, Data Scientist

San Jose, CA · On-site

$143K - $286K/yr

Familiarity with large-scale data/compute: Spark, distributed training, feature stores, GPU workflows. * Experience building human-centered explainability : dashboards, driver decomposition, "why ...

(USA)Staff, Data Scientist

Hayward, CA · On-site

$143K - $286K/yr

Familiarity with large-scale data/compute: Spark, distributed training, feature stores, GPU workflows. * Experience building human-centered explainability : dashboards, driver decomposition, "why ...

Familiarity with large-scale data/compute: Spark, distributed training, feature stores, GPU workflows. * Experience building human-centered explainability : dashboards, driver decomposition, "why ...

Familiarity with large-scale data/compute: Spark, distributed training, feature stores, GPU workflows. * Experience building human-centered explainability : dashboards, driver decomposition, "why ...

Collect and verify employee and timekeeping data. * Compute wages, deductions, commissions, benefits, and other payroll-related calculations. * Review computed wages to ensure payroll accuracy.

(USA)Staff, Data Scientist

Fremont, CA · On-site

$143K - $286K/yr

Familiarity with large-scale data/compute: Spark, distributed training, feature stores, GPU workflows. * Experience building human-centered explainability : dashboards, driver decomposition, "why ...

Showing results 21-40

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 cities in California are hiring for Data Compute jobs?

Cities in California with the most Data Compute job openings:

Infographic showing various Data Compute job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Edge Compute and Data Center Architect

Freeform

Los Angeles, CA • On-site

Full-time

Re-posted 4 days ago


Job description

Job Summary:
Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. In this role, you will architect and build the compute infrastructure and connectivity backbone for AI-native metal 3D printing factories, ensuring high availability, scalability, and security of the systems.
Responsibilities:
• Architect and scale state-of-the-art edge compute and storage systems for a big-data infrastructure, enabling Freeform to perform real-time machine learning on the edge as well as store petabytes of physics-based data for inference
• Lead the design, deployment, and maintenance of on-premises and cloud-based infrastructure, ensuring high availability, scalability, and security of IT systems
• Optimize and manage virtualization and containerization technologies
• Design, implement, and manage the company's networking infrastructure, ensuring robust connectivity, performance optimization, and security across all network layers
• Implement and manage comprehensive security protocols to protect data, systems, and infrastructure. Conduct regular security audits and vulnerability assessments to ensure the highest levels of protection
• Ensure infrastructure is built and scaled with cost and resource efficiency in mind
• Ensure compliance with industry standards and regulations for network security operations such as NIST and ITAR
Qualifications:
Required:
• Bachelor's degree in electrical engineering, computer engineering, or network engineering
• 5+ years of enterprise level data center engineering experience
• Heterogenous compute/data center infrastructure experience (CPUs, GPUs, traditional servers and storage)
• Strong knowledge of both on-premises and cloud-based infrastructure
Preferred:
• 10+ years of overall industry experience
• Experience with high-speed data
• Experience with Infiniband or similar high-bandwidth communication systems
• Experience scaling infrastructure for a startup environment
• Experience developing and implementing edge-compute capabilities such as data center infrastructure for ground stations, IoT, or similar hardware-centric operations
• Excellent leadership and team management skills
• Strong problem-solving and decision-making abilities
• Excellent communication and interpersonal skills
• Understanding of security protocols and compliance standards, such as NIST 800-171 and ITAR
Company:
Freeform is a 3D printing company offering metal 3D printing solutions for manufacturing companies. Founded in 2018, the company is headquartered in Los Angeles, USA, with a team of 51-200 employees. The company is currently Growth Stage.