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Data Compute Jobs in Pflugerville, TX (NOW HIRING)

Fluidstack

Researcher, Compute Scaling

Austin, TX · On-site

$224K - $264K/yr

Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human ... We acquire power, design and build data centers, and operate them - with teams spanning hardware ...

Wise Skulls

Data Platform Engineer

Austin, TX · On-site

$113K - $136K/yr

Distributed Query & Compute (Trino & Spark) - Deploy, tune, and operate Trino clusters for ... Data Engineering (Scala & Python) - Develop scalable data pipelines, frameworks, and services in ...

Fluidstack

Materials Manager, Compute & Storage

Austin, TX · On-site +1

$155K - $199K/yr

Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human ... We acquire power, design and build data centers, and operate them - with teams spanning hardware ...

Apptronik

Senior Product Manager - Sensing & Compute

Austin, TX · On-site

$125K - $165K/yr

Define infrastructure requirements for data collection and evaluation. * Define and prioritize use ... Strong understanding of compute architectures (e.g., GPUs, functional safety islands, safety MCUs ...

Wise Skulls Corp.

W2 Role : Data Platform Engineer

Manor, TX · On-site

$123K - $148K/yr

Distributed Query & Compute (Trino & Spark) - Deploy, tune, and operate Trino clusters for ... Data Engineering (Scala & Python) - Develop scalable data pipelines, frameworks, and services in ...

New

Socket.dev

AI/HPC Data Center Rack Design Engr

Austin, TX · On-site

$120 - $190/hr

This role involves evaluating and selecting rack-level compute, storage, networking, power delivery ... Design scalable AI/HPC data center rack layouts including compute, storage, networking, power ...

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All JobsData Compute JobsData Compute Jobs in Pflugerville, TX

Data Compute information

See Pflugerville, TX salary details

$41.9K

$122K

$167K

How much do data compute jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data compute in Pflugerville, TX is $122,017.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,700.00 and $129,300.00 per year, depending on experience, location, and employer.

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 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 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 are popular job titles related to Data Compute jobs in Pflugerville, TX?

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

What job categories do people searching Data Compute jobs in Pflugerville, TX look for?

The top searched job categories for Data Compute jobs in Pflugerville, TX are:

What cities near Pflugerville, TX are hiring for Data Compute jobs?

Cities near Pflugerville, TX with the most Data Compute job openings:

Data Compute jobs near you
Infographic showing various Data Compute job openings in Pflugerville, TX as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,017 per year, or $58.7 per hour.

Staff Electrical Engineer - Compute

Apptronik

Austin, TX • On-site

Full-time

Re-posted 5 days ago

Job description

JOB SUMMARY

We are seeking a highly skilled and experienced Staff Compute Engineer to lead the design and implementation of the next-generation compute solution for our humanoid robot platform. In this pivotal role, you will be the technical lead responsible for architecting a compute solution that meets our most demanding requirements for real-time performance, sensor bandwidth, and, most critically, functional safety.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES
  • Lead the architectural design of the robot's next-generation compute solution, from high-level system architecture to component-level selection.
  • Define and validate compute requirements based on the needs of complex robotics algorithms, including motion control, perception, and AI tasks.
  • Develop a robust and scalable solution capable of handling high-bandwidth data from a wide array of sensors
  • Design for functional safety from the ground up, implementing redundant systems, fail-safe mechanisms, and diagnostic features to meet or exceed industry safety standards.
  • Collaborate closely with cross-functional teams, including software, electrical, and systems engineers, to ensure seamless integration of the compute solution with the overall robot platform.
  • Conduct performance benchmarking and power analysis to optimize the compute stack for maximum efficiency and thermal management.
  • Design, simulate, implement, and test multi-layer high-speed PCBs for integration of advanced System-on-Modules (SoMs) like NVIDIA Orin.
  • Lead efforts in high-speed signal integrity (SI) and power integrity (PI) analysis, modeling, and validation.
  • Knowledge of compute and processor power requirements, power trees, PMICs, and power sequencing.
  • Drive the selection and qualification of critical components, including SoMs, memory, storage (NVMe/eMMC), high-speed interconnects, and peripheral interfaces.
  • Develop comprehensive validation and test plans (DVT/PVT), design necessary test fixtures, and execute rigorous testing to confirm compliance with performance specifications and regulatory standards (e.g., FCC, CE).
  • Stay abreast of the latest advancements in embedded systems, real-time operating systems (RTOS), and robotics compute hardware to inform future design decisions.
  • Own the entire lifecycle of complex compute hardware systems, from initial concept and architecture definition through design, prototyping, validation, production release, and ongoing support.
  • Act as a technical leader and mentor within the electrical engineering team, guiding junior and senior engineers on best practices for complex hardware design and troubleshooting.

SKILLS AND REQUIREMENTS

  • Proven experience in architecting and shipping complex, high-performance compute solutions for robotics, autonomous systems, or similar applications.
  • Deep understanding of functional safety principles and standards (e.g. IEC 61508) and experience with safety-critical design.
  • Expertise in a variety of compute platforms, including but not limited to, NVIDIA Jetson, Intel, and other high-performance embedded systems.
  • Strong knowledge of real-time operating systems (RTOS), multi-core processing, and communication protocols (e.g., Ethernet, CAN).
  • Experience with sensor bandwidth management and high-speed data transfer.
  • Excellent problem-solving skills and a collaborative approach to engineering.
  • Experience with humanoid robotics is a significant plus.

EDUCATION and/or EXPERIENCE

  • Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field; Master's or Ph.D. preferred.
  • 10+ years of experience in embedded systems or robotics compute design.

PHYSICAL REQUIREMENTS

  • Prolonged periods of sitting at a desk and working on a computer 
  • Must be able to lift 15 pounds at times 
  • Vision to read printed materials and a computer screen 
  • Hearing and speech to communicate

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