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Computer Validation Jobs in Santa Clara, CA (NOW HIRING)

PlusAI

Perception Validation Engineer

Santa Clara, CA

$140K - $170K/yr

  • Retirement

As a Perception Validation Engineer , you will be responsible for defining, developing, and ... Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Aerospace ...

Google

TPU Validation Manager

Mountain View, CA · On-site

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. * 8 years of experience in SoC validation. * 5 years of ...

PlusAI

Perception Validation Engineer

Santa Clara, CA · On-site

$140K - $170K/yr

  • Retirement

As a Perception Validation Engineer , you will be responsible for defining, developing, and ... Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Aerospace ...

PlusAI

Perception Validation Engineer

Santa Clara, CA

$140K - $170K/yr

As a Perception Validation Engineer , you will be responsible for defining, developing, and ... Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Aerospace ...

PlusAI

Perception Validation Engineer

Santa Clara, CA · On-site

$140K - $170K/yr

  • Retirement

As a Perception Validation Engineer , you will be responsible for defining, developing, and ... Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Aerospace ...

Marvell

Principal Validation Lead

Santa Clara, CA

  • Life

  • Retirement

Bachelor's degree in Electrical Engineering, Computer Engineering, or related field. * Typically 8+ years of industry experience in silicon or system validation, including hands-on lab work. * Strong ...

Microsoft

Senior Validation Engineer

Mountain View, CA · On-site

$119K - $234K/yr

We are looking for a Senior Validation Engineer with expertise in one or more of the following ... Doctorate in Electrical Engineering, Computer Engineering, Computer Science, or related field AND ...

Nvidia

Power Validation Engineer

Santa Clara, CA

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... System/board level debug and validation of NVIDIA's products in fields like GPU cards, MGX servers ...

Phantom AI

Test & Validation Engineer

Mountain View, CA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking a detail-oriented and persistent Test & Validation Engineer to join our company. In ... Bachelor's degree in Mechanical Engineering, Electrical/Computer Engineering, or a related ...

Phantom AI

Test & Validation Engineer

Mountain View, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking a detail-oriented and persistent Test & Validation Engineer to join our company. In ... Bachelor's degree in Mechanical Engineering, Electrical/Computer Engineering, or a related ...

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Showing results 21-40

All JobsComputer Validation JobsComputer Validation Jobs in Santa Clara, CA

Computer Validation information

See Santa Clara, CA salary details

$12

$63

$101

How much do computer validation jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for computer validation in Santa Clara, CA is $63.79, according to ZipRecruiter salary data. Most workers in this role earn between $49.13 and $75.67 per hour, depending on experience, location, and employer.

Is computer validation a good field?

Computer validation is a specialized field within quality assurance and regulatory compliance, focusing on ensuring that computerized systems meet industry standards such as 21 CFR Part 11. It often requires knowledge of validation protocols, testing, and documentation, and can offer stable employment with opportunities for certification and skill development. The field is considered important in industries like pharmaceuticals and biotech, where system integrity and data accuracy are critical.

What is the difference between Computer Validation vs Quality Assurance Specialist?

AspectComputer ValidationQuality Assurance Specialist
Required CredentialsGxP, 21 CFR Part 11, validation certificationsISO standards, QA certifications, GxP knowledge
Work EnvironmentPharmaceutical, biotech, regulated industriesManufacturing, healthcare, regulated industries
Employer & Industry UsageRegulated industries requiring validated systemsEnsuring quality compliance across processes

Computer Validation focuses on verifying that computer systems meet regulatory requirements and function correctly, primarily in regulated industries. Quality Assurance Specialists oversee overall quality processes, ensuring compliance and standards across various operations. While both roles require knowledge of GxP and industry regulations, Computer Validation is more technical and system-specific, whereas QA Specialists have a broader scope in quality management.

What are popular job titles related to Computer Validation jobs in Santa Clara, CA?

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What job categories do people searching Computer Validation jobs in Santa Clara, CA look for?

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Cities near Santa Clara, CA with the most Computer Validation job openings:

Computer Validation jobs near you
Infographic showing various Computer Validation job openings in Santa Clara, CA as of August 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 100% In-person job distribution, with an average salary of $132,691 per year, or $63.8 per hour.

Perception Validation Engineer

PlusAI

Santa Clara, CA

$140K - $170K/yr

Full-time

Retirement

Posted 12 days ago

Job description

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World's Most Innovative Companies. Partners including TRATON GROUP's Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you're ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

As a Perception Validation Engineer, you will be responsible for defining, developing, and executing the validation strategies that ensure our autonomous vehicles (AVs) perceive the world with absolute accuracy and reliability.

You will sit at the intersection of cutting-edge AI and rigorous systems engineering. Your mission is to design automated pipelines, establish performance metrics, and build the testing frameworks necessary to ruthlessly evaluate our machine learning models (BEV based) against real-world edge cases. If you love breaking complex AI systems to make them unbreakably safe, this role is for you.

Responsibilities:

  • Define Validation Metrics: Establish rigorous, statistically sound KPIs and performance benchmarks for camera, LiDAR, Radar, and sensor-fusion perception stacks (e.g., precision/recall, mAP, latency, tracking MOTA).

  • Build Automated Testing Pipelines: Design and maintain scalable, automated regression testing pipelines that evaluate perception algorithms on massive real-world and synthetic datasets.

  • Ground Truth Generation: Oversee and optimize the creation of high-fidelity ground truth data, using automated labeling tooling, offline perception models, and manual curation.

  • Edge-Case Mining: Identify, categorize, and build a library of challenging real-world scenarios, sensor degradations (e.g., lens flare, heavy rain, occlusion), and long-tail anomalies to stress-test the perception system.

  • Root-Cause Analysis: Partner closely with the Perception ML team to debug validation failures, trace anomalies back to data or algorithmic root causes, and propose data-driven solutions. Close the loop with model training.

  • Simulation & Tooling Development: Collaborate with the Simulation team to develop realistic sensor models and synthetic scenarios that bridge the gap between simulation and real-world validation.

  • Safety Documentation: Generate comprehensive verification and validation reports to support safety cases, regulatory compliance, and software release readiness.

Required Skills:

  • Education: Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Aerospace Engineering, or a related quantitative field.

  • Experience: 2+ years of professional experience in testing, validation, or development of robotics/autonomous systems, or computer vision models.

  • Programming: Strong proficiency in Python (especially NumPy, Pandas, Pytest) and/or C++.

  • Data Analysis: Experience manipulating and visualizing large scale datasets (SQL, data lake queries) and utilizing statistical methods to evaluate model performance.

  • Domain Knowledge: Solid understanding of core computer vision concepts, deep learning principles, and spatial geometry (3D transformations, coordinate frames).

Preferred Skills:

  • Experience with ROS / ROS2 

  • Familiarity with cloud computing infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

  • Experience with machine learning frameworks (PyTorch) and validation tools.

  • Understanding of functional safety standards in automotive engineering (e.g., ISO 26262, ISO 21448 / SOTIF).

  • Experience working with CI/CD pipelines (Jenkins, Github CI) for automated testing.

$140,000 - $170,000 a year
Your opportunities joining PlusAI
Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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