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Data Compute Jobs (NOW HIRING)

Navigate scaling tradeoffs across data, compute, and architecture * Define the technical direction for next-generation models Core Responsibilities Deep Learning & Transformer Foundations * Apply ...

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 ...

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 ...

Accounts Payable Specialist

San Antonio, FL

$18.75 - $24.25/hr

You will compile data, compute charges, and prepare invoices. Qualifications: 3+ Years of Accounts Payable Experience Multiple Entities Advance Excel Skills Proficient with high volume of ...

Coordinator Office

Selma, TX · On-site

$16.25 - $21.75/hr

... data, compute fees, and prepare information, and purchase order requests. Connecting you to great benefits * Weekly Paychecks * Paid Time Off, Parental Leave, and Holidays * Insurance (including ...

(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

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

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

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 ...

Showing results 41-60

Data Compute information

See salary details

$44.5K

$129.7K

$177.5K

How much do data compute jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data compute in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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.

More about Data Compute jobs

What cities are hiring for Data Compute jobs?

Cities with the most Data Compute job openings:

What are the most commonly searched types of Data Compute jobs?

The most popular types of Data Compute jobs are:

What states have the most Data Compute jobs?

States with the most job openings for Data Compute jobs include:

Infographic showing various Data Compute job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Edge Compute and Data Center Architect

Freeform

Los Angeles, CA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


Job description

EDGE COMPUTE AND DATA CENTER ARCHITECT

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits. 

In this role, you will architect and build the compute infrastructure and connectivity backbone for a new class of AI-native metal 3D printing factories. Each node in the factory integrates dense GPU clusters and generates massive, high-frequency data streams that must be processed in real time on the edge. You will design systems spanning heterogeneous compute (CPU/GPU), high-bandwidth interconnects (e.g., NVLink, InfiniBand), and distributed data platforms to support both real-time control loops and large-scale data processing. You will oversee both on-premises and cloud-based infrastructure, ensuring high availability, scalability, and security. This is a unique opportunity to build advanced compute systems and scale them from a single deployment into a globally distributed platform. 

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

Basic Qualifications: 

  • 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

Nice to Have: 

  • 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

Location: 

  • Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country. 
  • Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions.

Why Freeform? 

  • We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions
  • We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology
  • Benefits 
    • Significant stock option packages 
    • 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options) 
    • Life insurance 
    • Traditional and Roth 401(k) 
    • Paid vacation, sick leave, and company holidays 
    • Generous Paid Parental Leave and extended transition back to work for the birthing parent 
    • Free daily catered lunch and dinner, and fully stocked kitchenette 
    • Casual dress, flexible work hours, and regular catered team building events 
  • Compensation   
    • As an early-stage startup, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company's current stage of development and allows the employee to grow and develop within a role. 
  • Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.