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Mid Level Software Engineer Jobs in Pacifica, CA

Location: 100% remote, anywhere in the US, but observing 10am-3pm PST working hours Compensation: $140,000 plus bonus and equity We're looking for a mid-level Software Engineer to take ownership of ...

Principal Software Engineer

South San Francisco, CA · Remote

$162K - $217K/yr

Mentor mid-level engineers through code review, design docs, and pairing. Raise the engineering bar by example. * AI-Native Development: Build and improve our AI-coding tooling alongside the rest of ...

Principal Software Engineer

South San Francisco, CA · On-site

$162K - $217K/yr

Mentor mid-level engineers through code review, design docs, and pairing. Raise the engineering bar by example. * AI-Native Development: Build and improve our AI-coding tooling alongside the rest of ...

... Mid-Level Product Engineer to join us in San Francisco. You'll contribute across the full stack ... What We're Looking For Must-haves: * 2-8 years of software engineering experience with a proven ...

Staff-level software engineering experience (or operating at Staff level) Strong Python and/or Rust programming skills Recent startup experience (Seed-Series D preferred) Experience owning systems ...

AI Engineer (Mid-Level)

San Francisco, CA · On-site

$180K - $400K/yr

As a mid-level AI Engineer on the core product team, you'll own production LLM-based services end ... What We're Looking For Must-haves: * 2-8 years of software engineering experience with demonstrated ...

AI Engineer (Mid-Level)

San Francisco, CA · On-site

$180K - $400K/yr

As a mid-level AI Engineer on the core product team, you'll own production LLM-based services end ... What We're Looking For Must-haves: * 2-8 years of software engineering experience with demonstrated ...

About the roleWe're seeking a mid-level AI Engineer to join a core product team building agentic ... What we're looking for2-8 years of software engineering experience delivering shipped user-facing ...

... Mid-Level Product Engineer to join us in San Francisco. You'll contribute across the full stack ... What We're Looking For Must-haves: * 2-8 years of software engineering experience with a proven ...

... level software engineering experience (or operating at Staff level) • Strong Python and/or Rust programming skills • Recent startup experience (Seed-Series D preferred) • Experience owning ...

Flight Software Engineer As our Flight Software Engineer, you will support the the development ... Implement low level software to interface with various spacecraft components * Implement ...

Showing results 21-40

Mid Level Software Engineer information

See Pacifica, CA salary details

$73.2K

$170K

$236.8K

How much do mid level software engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for mid level software engineer in Pacifica, CA is $169,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,300.00 and $199,400.00 per year, depending on experience, location, and employer.

What is a mid level software engineer?

A Mid Level Software Engineer is a professional with a few years of experience who develops, tests, and maintains software applications. They work independently on tasks, contribute to code reviews, and collaborate with teams to design and implement solutions. Mid-level engineers are expected to write clean, efficient code, troubleshoot issues, and improve system performance. They may also mentor junior developers and participate in architectural discussions. Typically, they have strong problem-solving skills and proficiency in programming languages relevant to their role.

What typical responsibilities can I expect as a mid level software engineer?

As a Mid Level Software Engineer, you will be involved in designing, coding, testing, and maintaining software applications, often working on both new and existing projects. You’ll collaborate with other engineers, product managers, and QA teams to deliver features that meet business requirements, while also participating in code reviews and contributing to architectural decisions. Your responsibilities may also include troubleshooting bugs, refining development processes, and occasionally mentoring junior engineers. This role typically offers a blend of technical challenge, teamwork, and opportunities for continued skill development.

What are the key skills and qualifications needed to thrive in the mid level software engineer position, and why are they important?

To thrive as a Mid Level Software Engineer, you need a solid understanding of software development principles, programming languages such as Java, Python, or C#, and a bachelor’s degree in computer science or a related field. Experience with version control systems like Git, familiarity with agile methodologies, and sometimes certifications such as AWS Certified Developer or Microsoft Certified: Azure Developer Associate are advantageous. Strong problem-solving skills, teamwork, and effective communication are standout soft skills in this position. These combined skills enable engineers to deliver high-quality code, collaborate efficiently within development teams, and adapt to evolving project requirements.

Is 25 too late to become a mid level software engineer?

Age is not a barrier to becoming a mid level software engineer; many professionals transition into software development in their mid-20s or later. Success depends on acquiring relevant skills, such as programming languages and software development tools, and gaining practical experience through projects or internships.
What are the most commonly searched types of Software Engineer jobs in Pacifica, CA? The most popular types of Software Engineer jobs in Pacifica, CA are:
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What cities near Pacifica, CA are hiring for Mid Level Software Engineer jobs? Cities near Pacifica, CA with the most Mid Level Software Engineer job openings:

Senior Software Engineer - LLM‑Driven Release & Triage Tooling

Woven by Toyota

Palo Alto, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago


Job description

Woven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation - expanding what "mobility" means and how it serves society.
Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we're working toward one bold goal: a world with zero accidents and enhanced well-being for all.
TEAM
Woven by Toyota's Release & Triage team operationalizes continuous improvement for automated driving by turning on-road signals and incidents into actionable engineering insights.
The Release & Triage Tooling sub-team builds AI- and data-driven internal tools and services that support release qualification, large-scale simulation-based testing, and high-quality failure analysis, partnering closely with Release, Triage, and core development teams to keep the mainline stable and continuously improving.
WHO ARE WE LOOKING FOR?
We're looking for a mid- to senior-level Software Engineer to design and build internal tooling that uses AI/ML and LLM-based approaches to interpret complex signals from logs, metrics, test results, images, and video, helping QA and development engineers quickly understand failures, identify regressions, and make confident release decisions. You will be part of a team that owns end-to-end services and workflows that power release qualification and triage at scale, integrating with CI/CD, simulation platforms, and internal data pipelines while helping establish best practices for responsible and effective use of AI-driven analysis within the team.
RESPONSIBILITIES
  • Perform root cause analysis of events coming from on-road testing and simulation testing of an automated driving system currently under development.
  • Partner with release engineers, triagers, and infrastructure teams to understand real-world failure modes, identify high-value automation opportunities, and iterate on models, heuristics, and tooling based on feedback and outcomes.
  • Build and maintain tooling that uses AI/ML and LLMs to analyze test and release failures across logs, metrics, images, and video.
  • Design systems that surface meaningful insights, root-cause hypotheses, and confidence signals to engineers to support release decisions.
  • Develop tooling that supports release qualification, gating, and readiness assessment, including large-scale simulation-based testing workflows.
  • Integrate AI-based analysis into CI/CD systems, test frameworks, simulation platforms, and internal data pipelines to create seamless end-to-end workflows.
  • Design and implement scalable, reliable internal services used by release and triage teams, ensuring maintainability, observability, and performance at scale.
  • Build dashboards and reports that communicate release health, risk, and trends to stakeholders across Release, Triage, and development teams.
  • Use AI-assisted coding tools (e.g., GitHub Copilot, Cursor, Claude Code or similar) to accelerate development, refactoring, and testing, while rigorously validating AI-generated code for correctness, security, performance, and maintainability.
  • Help establish best practices for responsible and effective use of AI code generation and AI-driven analysis within the team.
  • Write clear documentation and usage guidelines so internal users can effectively adopt and extend the tooling you build.

MINIMUM QUALIFICATIONS
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. Experience with
  • 3+ years of professional software development experience (mid-level) or 5+ years (senior-level).
  • Strong proficiency in at least one general-purpose programming language (e.g., Python, C++, Rust, Java, Go).
  • Experience building internal tools, platforms, or infrastructure services used by other engineering or operations teams.
  • Strong debugging and analytical skills, especially in complex, distributed, or data-intensive systems.
  • Familiarity with CI/CD systems and release-adjacent workflows, including integration with test frameworks and data pipelines.
  • Experience applying AI/ML or LLMs to real-world software systems, ideally in tooling or infrastructure contexts.
  • Hands-on experience using AI-assisted code generation tools in a professional environment, including defining review practices.

NICE TO HAVES
  • Experience working with multimodal data (text, logs, structured data, images, video) and building systems that interpret complex signals.
  • Familiarity with model evaluation, confidence scoring, and/or explainability techniques for AI-driven analysis.
  • Experience with simulation-based testing, CI/CD, or release engineering workflows in safety-critical or high-reliability domains (e.g., automotive, robotics, aerospace, medical).
  • Experience with triage tooling, incident review, and data visualization for operational dashboards.

The base pay for this position ranges from $ 115,500 - $ 189,750 a year.
Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level.
WHAT WE OFFER
We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.
• Excellent health, wellness, dental and vision coverage
• A rewarding 401k program
• Flexible vacation policy
• Family planning and care benefits
Our Commitment
• We are an equal opportunity employer and value diversity.
• Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.