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Computer Vision Engineer Jobs in Phoenix, AZ (NOW HIRING)

Infrastructure Engineer

Phoenix, AZ ยท On-site

$125K - $175K/yr

One previously worked as a Quant at Goldman Sachs, and the other built the computer vision system ... Infrastructure Engineer As Infrastructure Engineer, you will own every dollar that moves through ...

Infrastructure Engineer

San Francisco, CA ยท On-site

$125K - $175K/yr

One previously worked as a Quant at Goldman Sachs, and the other built the computer vision system ... Infrastructure Engineer As Infrastructure Engineer, you will own every dollar that moves through ...

One previously worked as a Quant at Goldman Sachs, and the other built the computer vision system ... Infrastructure Engineer As Infrastructure Engineer, you will own every dollar that moves through ...

AI Engineer

Phoenix, AZ ยท On-site

$125K - $175K/yr

One previously worked as a Quant at Goldman Sachs, and the other built the computer vision system ... AI Engineer As AI Engineer, you will work directly under the Head of AI - a researcher with ...

AI Engineer

Phoenix, AZ

$125K - $175K/yr

One previously worked as a Quant at Goldman Sachs, and the other built the computer vision system ... AI Engineer As AI Engineer, you will work directly under the Head of AI - a researcher with ...

AI Engineer

Phoenix, AZ ยท On-site

$125K - $175K/yr

One previously worked as a Quant at Goldman Sachs, and the other built the computer vision system ... AI Engineer As AI Engineer, you will work directly under the Head of AI -- a researcher with ...

Senior Software Engineer, Auto Labelling

Phoenix, AZ ยท On-site +1

$170K - $220K/yr

... Engineers working on building a cutting-edge offline perception and auto-labelling system ... computer vision, and machine learning. - Manage the end-to-end orchestration of the large-scale ...

Senior Software Engineer, Auto Labelling

Phoenix, AZ ยท On-site +1

$170K - $220K/yr

... Engineers working on building a cutting-edge offline perception and auto-labelling system ... computer vision, and machine learning. - Manage the end-to-end orchestration of the large-scale ...

CAD Drafter

Tempe, AZ ยท On-site

$25 - $40/hr

CAD Drafter Department: Civil/Municipal Employment Type: Full Time Location: Tempe, AZ Compensation ... vision coverage; plus a flexible spending plan and short and long-term disability. Wilson Engineers ...

We are seeking an experienced CAD Drafter to join our team in our Tempe, Arizona office * Utilize ... vision coverage; plus a flexible spending plan and short and long-term disability. Wilson Engineers ...

Build natural language processing and computer vision solutions for document intelligence ... Collaborate with data engineers, software engineers, machine learning engineers, architects ...

Research Scientist, Learnable Planner

Phoenix, AZ ยท On-site +1

$158K - $269K/yr

... learning, computer vision, and self-driving technologies. - Champion engineering excellence, ensuring high-quality, well structured and tested code. - Submit and publish work externally at top ...

Research Scientist, Learnable Planner

Phoenix, AZ ยท On-site +1

$158K - $269K/yr

... learning, computer vision, and self-driving technologies. - Champion engineering excellence, ensuring high-quality, well structured and tested code. - Submit and publish work externally at top ...

... across domains such as computer vision, machine learning, and deep learning. Assists in ... Programming languages such as Python and C++, and experience with AI frameworks and libraries like ...

Showing results 41-60

Computer Vision Engineer information

See Phoenix, AZ salary details

$48.2K

$120.7K

$136.5K

How much do computer vision engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for computer vision engineer in Phoenix, AZ is $120,654.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,700.00 and $130,600.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are the key skills and qualifications needed to thrive as a computer vision engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are the most commonly searched types of Computer Vision Engineer jobs in Phoenix, AZ?

The most popular types of Computer Vision Engineer jobs in Phoenix, AZ are:

What are popular job titles related to Computer Vision Engineer jobs in Phoenix, AZ?

For Computer Vision Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Computer Vision Engineer jobs in Phoenix, AZ look for?

The top searched job categories for Computer Vision Engineer jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Computer Vision Engineer jobs?

Cities near Phoenix, AZ with the most Computer Vision Engineer job openings:

Infographic showing various Computer Vision Engineer job openings in Phoenix, AZ as of August 2026, with employment types broken down into 65% Full Time, 21% Part Time, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $120,654 per year, or $58 per hour.

Infrastructure Engineer

EQL Tech

Phoenix, AZ โ€ข On-site

$125K - $175K/yr

Full-time

Re-posted 17 days ago


Job description

Infrastructure Engineer

Location: San Francisco, CA or Phoenix, AZ (In-Office)

Partnership: EQL Tech has been exclusively retained by a high-growth technology startup to appoint a mission-critical Infrastructure Engineer to own the brand feel of the company and the movement they're building.

About the Company & The Mission

EQL Tech is proud to represent a highly ambitious, well-funded startup that has raised $16M from top-tier VCs and angels. The company is building the financial rails to help families access new State education funds (known as ESAs or School Choice Funds).

The $900B US Public Education budget is being opened up for parents to take control of their portion, which averages $7.5k per kid per year. Ambitious homeschool parents are already using these funds to piece together their dream education experience. Helping them access these funds is Step 1 in the journey to build the next-gen education system. The company treats this as their life's work and has already rejected an acquisition offer because they care about this being done right.

The Team

You will be joining an in-person company, working together in the office.

  • The Founders: The founders are engineers who have run their own alternative school together. One previously worked as a Quant at Goldman Sachs, and the other built the computer vision system for the largest smart warehousing company globally, serving 1M customers/day at age 19.
  • The Core Team: You will work alongside top talent, including a founding engineer who did AI research at MILA and at Elon Musk’s SpaceX school, a Head of Risk from Mercury, Stripe, and Circle, and a Payments Engineer from Microsoft and Goldman Sachs. The team also includes the former Deputy Director at Arizona's ESA department and leading school choice advocates.
The Role: Infrastructure Engineer

As Infrastructure Engineer, you will own every dollar that moves through Pathfinder's stack — from card issuing to disbursements, reconciliation, and regulatory reporting. You will work directly alongside the co-founders to build the technical backbone the company's mission depends on.

As Infrastructure Engineer, you will:

  • Design a money movement flow: ledgered internal state, transaction lifecycle management, idempotency, retries, and deterministic replay so we can reason about every flow.
  • Build high-trust, reliable reconciliation: daily/continuous reconciliation between internal ledger, card network events, banking events, and vendor/provider reports — and the tooling to investigate mismatches fast.
  • Minimize operational risk: build guardrails that prevent bad states (double-spend, duplicate webhook processing, inconsistent balances, orphaned settlements).
  • Payment Systems Architecture: Own and evolve a multi-service monorepo spanning an event-driven pipeline, a payments API (onboarding, credit, cards), balance healthchecks, and regulatory reporting jobs. Make architecture-level decisions on how to securely and reliably handle billions of dollars in state-funded educational payments, including card issuing infrastructure, processor integrations, and fraud and credit risk controls.
  • Ledger Integrity Reconciliation: Be responsible for keeping independent ledgers aligned at all times despite asynchronous event processing. You can spot a missing cent and get to the root before errors compound. You will build and improve automated healthcheck and reconciliation systems that catch discrepancies the moment they appear, not the next morning.

Requirements

Your Profile
  • Obsessive About Correctness: You know that a missing cent compounds into a crisis. Retries don't erase history, idempotency is deliberate, and validation belongs where truth lives — the database. You can spot a discrepancy before it becomes a problem.
  • Assumes the Real World is Unreliable: Banks go down, queues back up, vendors change APIs without warning. You build systems that stay predictable anyway — "reliable" to you means consistent behaviour at 10 payments or 10,000,000.
  • Craves Ownership: You want to be the single person everyone trusts when money is moving. You're not looking to contribute to a system — you want to have engineered it so that emergencies are rare and recoverable when they happen.
  • High-Auditability Mindset: You're willing to go deep on a single missing transaction and trace it through every layer of the stack. You build tooling that lets you and your team investigate mismatches fast, not the next morning.
  • Able to work in-person with the team in San Francisco, CA or Phoenix, AZ (visa support available)
  • Experience with Lithic, Column, LoanPro, Stripe Issuing, or comparable card and banking infrastructure is a strong plus

Benefits

Commitment, Compensation & Benefits

This will be a big commitment, and we're aiming high. It needs to be something you are energised about taking on, or this isn't the team for you.

  • Competitive Salary: $125,000 – $175,000 per year, commensurate with experience.
  • Generous Founding Equity: We compensate you well with equity.
  • Top-Tier Backing: We've raised $16M from top-tier VCs and angels.
  • Relocation Support: You are willing to relocate to San Francisco, CA, or Phoenix, AZ, and travel to visit customers. We're an in-person company and are in the office together.
  • Comprehensive Visa Sponsorship: If you do not have a visa, we can support you.
  • Unmatched Impact: The rare opportunity to directly shape how the $900B US Public Education budget is being opened up for parents to take control of their portion (avg. $7.5k/kid/year).