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Automated Testing Jobs in California (NOW HIRING)

Jobsbridge

Senior Automated Tester

Los Angeles, CA · On-site

A minimum 8 year IT testing experience with large/complex development/maintenance projects with ... automated test scripts. Proven ability to create test artifacts (strategies, test plans and test ...

MDAEdge

Automation Tester

Los Angeles, CA · On-site

$49.50 - $65.50/hr

The role involves designing test plans, developing automated testing scripts, and collaborating in the software development lifecycle to enhance product quality. Responsibilities : • Design and ...

SGS Consulting

Sr Automated Test Engineer

San Francisco, CA · On-site

$54.25 - $71.50/hr

The Automated Software Tester is responsible for supporting Quality Engineering initiatives for the Fed/Cash Central application, a critical system that manages currency and coin processing ...

New

MM International

Penetration Tester

San Francisco, CA · On-site

The role involves performing manual and automated testing, identifying vulnerabilities, and integrating security into DevSecOps pipelines . Key Skills & Tools: * VAPT , Web/API/Thick Client Security ...

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How much do automated testing jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for automated testing in California is $50.61, according to ZipRecruiter salary data. Most workers in this role earn between $43.65 and $57.64 per hour, depending on experience, location, and employer.

What is the difference between Automated Testing vs Manual Testing?

AspectAutomated TestingManual Testing
CredentialsBasic knowledge of testing tools, scripting skillsTesting fundamentals, attention to detail
Work EnvironmentTest automation tools, scripting environmentsTest cases execution, user interface interaction
Industry UsageSoftware development, QA teamsSoftware testing, QA teams
Search & Comparison IntentEfficiency, automation tools, scriptingManual process, user experience testing

Automated Testing involves using software tools and scripts to execute test cases automatically, increasing efficiency and repeatability. Manual Testing requires testers to execute test cases manually, focusing on user experience and exploratory testing. Both roles are essential in quality assurance, but Automated Testing emphasizes automation skills, while Manual Testing emphasizes detailed observation and user perspective.

How can I become an automated testing professional?

To become an automated testing professional, develop skills in programming languages such as Java, Python, or JavaScript, and learn testing tools like Selenium, TestComplete, or JUnit. Gaining knowledge of software development life cycle (SDLC), scripting, and continuous integration systems enhances employability, and obtaining certifications like ISTQB can validate your expertise.

Is automation testing a good career?

Automation testing is a viable career option for those interested in software quality assurance, as it involves designing and executing automated test scripts using tools like Selenium or QTP. It requires technical skills in programming and understanding of testing frameworks, and offers opportunities for growth in software development and quality assurance roles.

What cities in California are hiring for Automated Testing jobs?

Cities in California with the most Automated Testing job openings:

Automated Testing jobs near you
Infographic showing various Automated Testing job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $105,259 per year, or $50.6 per hour.

Automated Testing Engineer, Compute

Crusoe

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

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.
About the Role:
As an Automated Testing Engineer, you will be responsible for the end-to-end validation of large-scale, multi-node GPU clusters. You will help own the automated integration testing framework to validate high-performance GPU training, ensuring that distributed workloads scale efficiently across multiple virtualized nodes. Your role is critical in ensuring the stability of the low-level infrastructure and validating the interconnect fabric that powers the world's most demanding AI and HPC applications.
San Francisco, Sunnyvale (Onsite)
What You'll Be Working On:
  • CI/CD Automation and Tooling: Build CI/CD platforms that enable developers to quickly test, iterate, and deploy critical, low-level systems and applications.
  • Multi-Node Scaling Validation: Design and execute large-scale validation tests across multi-node virtualized clusters to ensure linear scaling and stability of GPU workloads.
  • Cluster Orchestration: Develop and maintain automation frameworks in Python or Go to dynamically provision, configure, and stress-test multi-node virtualized environments.
  • Interconnect & Fabric Testing: Validate high-speed interconnects-including NVLink, Infinity Fabric, InfiniBand, and RoCE-within virtualized environments to ensure low-latency, high-bandwidth communication.
  • Collective Communication Benchmarking: Architect and run comprehensive test suites using nccl-tests and rccl-tests (e.g., AllReduce, AllGather) to verify performance across node boundaries.
  • Performance Bottleneck Analysis: Perform deep-dive analysis of regressions in CPU performance and multi-node communication, identifying root causes across the guest OS, hypervisor, and physical fabric.
  • Create automated test suites leveraging tools like fio, stress-ng, and iperf to ensure performance and multi-tenant isolation of CPU and GPU hosts.

What You'll Bring to the Team:
  • Education & Experience: 5+ YOE demonstrated ability to competently and independently perform responsibilities plus Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field.
  • Experience building and deploying automated integration testing for an AI Cloud Environment, ranging from low-level Linux Systems up to Distributed Control Planes.
  • Working knowledge of the modern infrastructure stack, including Kubernetes, Docker, Terraform, and Postgres.
  • CI/CD & Gitlab: Intimate knowledge of CI/CD pipelines and Gitlab Tooling to enable stable infrastructure releases across multiple datacenters.
  • Automation & Scripting: Advanced proficiency in Python and/or Bash for automating complex cluster-wide test scenarios.
  • Distributed GPU Ecosystems: Familiarity with NVIDIA (CUDA/NCCL) and/or AMD (ROCm/RCCL) stacks in a multi-node context.
  • Networking Knowledge: Strong understanding of RDMA, RoCE, and InfiniBand protocols and their implementation in virtualized systems.
  • System Internals: Knowledge of Linux kernel internals, specifically PCIe topology, VFIO, and memory management (HugePages, IOMMU).

Bonus Points:
  • Experience with MNNVL (Multi-Node NVLink) or specialized AI fabric architectures.
  • Familiarity with hardware-level debugging tools and performance profilers (e.g., NVIDIA Nsight, AMD Omniperf).
  • Knowledge of containerized orchestration for GPUs (e.g., Kubernetes with specialized device plugins).

Benefits:
  • Competitive compensation and equity packages
  • Restricted Stock Units
  • Paid time off, paid holidays & leave of absence programs
  • 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
  • Global travel insurance & emergency assistance
  • Daily meals allowance
  • Additional perks & programs specific to location

Compensation:
Compensation will be paid in the range of $172,500 - $210,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.
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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