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Senior Computer Vision Jobs in Portland, OR (NOW HIRING)

Sr. DevOps Engineer

Portland, OR · On-site

$75 - $85/hr

Position Overview We're seeking an experienced senior development operations (DevOps) engineer to own the build, test, and deployment pipeline for our distributed computer vision platform running at ...

Sr. DevOps Engineer

Portland, OR · On-site

$75 - $85/hr

Position Overview We're seeking an experienced senior development operations (DevOps) engineer to own the build, test, and deployment pipeline for our distributed computer vision platform running at ...

Doing what's never been done before takes vision, innovation, and the world's best talent. As an ... Skill in CAD data structures and algorithms, especially for physical VLSI design automation

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Doing what's never been done before takes vision, innovation, and the world's best talent. As an ...

Computer knowledge and efficiency, including Microsoft Office products * 10+ years of related ... That's why we provide an array of options (including medical, dental, and vision insurance plans ...

Computer knowledge and efficiency, including Microsoft Office products * 10+ years of related ... That's why we provide an array of options (including medical, dental, and vision insurance plans ...

Computer knowledge and efficiency, including Microsoft Office products * 10+ years of related ... That's why we provide an array of options (including medical, dental, and vision insurance plans ...

Showing results 21-40

Senior Computer Vision information

See Portland, OR salary details

$26.5K

$85.1K

$173.4K

How much do senior computer vision jobs pay per year?

As of Sep 1, 2026, the average yearly pay for senior computer vision in Portland, OR is $85,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $109,200.00 per year, depending on experience, location, and employer.

What does a senior computer vision engineer do?

A Senior Computer Vision Engineer designs and implements algorithms that enable computers to interpret and process visual data from the world, such as images and videos. They work on tasks like object detection, image classification, and facial recognition, often using machine learning and deep learning techniques. Senior-level professionals also lead projects, mentor junior engineers, and help integrate computer vision solutions into products or services. Their expertise is critical in industries like autonomous vehicles, healthcare, robotics, and security.

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

Senior Computer Vision Engineers frequently encounter challenges such as ensuring model robustness under real-world conditions, optimizing inference speed for large-scale deployments, and managing diverse data quality issues. Additionally, integrating computer vision models into existing software systems often requires close collaboration with backend engineers and DevOps teams to maintain reliable, scalable pipelines. Addressing these obstacles typically involves rigorous testing, ongoing model monitoring, and iterative improvement to ensure accuracy and performance in dynamic environments.

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

To thrive as a Senior Computer Vision Engineer, you need deep expertise in computer vision algorithms, machine learning, and a strong background in mathematics or computer science, usually supported by an advanced degree. Mastery of programming languages like Python or C++, and experience with frameworks such as OpenCV, TensorFlow, or PyTorch, as well as familiarity with cloud platforms and GPU computing, are typically required. Strong problem-solving abilities, effective communication, and the ability to collaborate across interdisciplinary teams are vital soft skills. These competencies are crucial for developing innovative vision solutions, ensuring project success, and translating complex technical concepts for diverse stakeholders.

What are the most commonly searched types of Computer Vision jobs in Portland, OR?

The most popular types of Computer Vision jobs in Portland, OR are:

What are popular job titles related to Senior Computer Vision jobs in Portland, OR?

For Senior Computer Vision jobs in Portland, OR, the most frequently searched job titles are:

What cities near Portland, OR are hiring for Senior Computer Vision jobs?

Cities near Portland, OR with the most Senior Computer Vision job openings:

Sr. DevOps Engineer

Portland, OR • On-site

Fresh Consulting
Business Management Consulting • 201 - 500 employees

$75 - $85/hr

Contractor

Posted 10 days ago


Job description

Position Overview
We're seeking an experienced senior development operations (DevOps) engineer to own the build, test, and deployment pipeline for our distributed computer vision platform running at edge sites across customer manufacturing floors. This is a full-time position working directly with our engineering team to harden our release process, drive deployment automation, and pioneer LLM-driven test generation and validation.
What You'll Do
  • Own and evolve the end-to-end release pipeline - branching strategy, build orchestration, artifact promotion, and rollback - across our Bazel monorepo and Python deployable units
  • Design and maintain Ansible-driven fleet automation for heterogeneous Linux edge nodes (Ubuntu LTS, NVIDIA driver stacks, Docker with NVIDIA runtime)
  • Manage all update tooling, currently written in Golang
  • Build LLM-powered automated testing systems: test generation from specs, flake triage, log/failure analysis, regression diffing, and release-note synthesis from commit and ticket history
  • Harden CI/CD for offline and bandwidth-constrained deployment targets (airgap wheel distribution, signed artifacts, deterministic builds)
  • Drive observability for releases - deployment telemetry, version drift detection, and post-deploy health validation across the fleet
  • Mentor engineers on release hygiene, reproducible builds, and infrastructure-as-code practices
What We're Looking For
  • 10+ years of professional experience in release engineering, DevOps, or SRE roles shipping production Linux systems
  • Deep curiosity for software, infrastructure, and applied AI - particularly using LLMs as production engineering tools, not just chat assistants
  • Expert-level Python (3.8+) with a strong grasp of packaging, dependency resolution, and PEP 440 versioning discipline
  • Demonstrated ownership of Linux fleets at scale - kernel, systemd, networking, package management
  • Excellence in technical communication, runbook authorship, and post-incident documentation
  • Strong systems thinking - comfortable reasoning about failure modes across hardware, OS, container, and application layers
Required Technical Skills
  • Expert proficiency with Ansible (roles, dynamic inventory, idempotent design); working knowledge of Terraform
  • Expert proficiency with Docker, including creation and lifecycle management of containers, image hardening, registry management and installing & configuring the NVIDIA container runtime
  • Production experience with Linux administration: systemd, networking (VLANs, DHCP, DNS), kernel/driver management (especially NVIDIA/DKMS), package and APT internals
  • Strong Python skills focused on tooling, automation, packaging (wheels, pip, private indexes), and subprocess/CI integration
  • Proficiency with Git workflows, branching strategies, and modern CI/CD systems (GitHub Actions, GitLab CI, or equivalent)
  • Experience designing and operating automated test infrastructure - unit, integration, hardware-in-the-loop, and end-to-end
  • Practical experience using LLMs (Anthropic, OpenAI, or local) as part of engineering workflows - test generation, code review augmentation, log analysis, or agentic tooling
Nice to Have
  • Bazel or similar monorepo build systems
  • Edge or embedded deployment experience
  • Tailscale, WireGuard, or zero-trust networking in production
  • gRPC/protobuf service ecosystems
  • Vault, PKI, or secrets management at fleet scale
  • Background in regulated or compliance-driven environments (CMMC, ISO 27001, SOC 2)
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Range $75/hr - $85/hr.