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Msl Engineering Jobs in California (NOW HIRING)

Karius

Medical Science Liaison (San Diego)

San Diego, CA · On-site

$124K - $186K/yr

Unlike traditional MSL positions, this role is fully embedded within the commercial organization ... Our tests are the result of some incredible work done by our scientists, statisticians, engineers ...

ATR International

Material Handler

Milpitas, CA · On-site

$20 - $21/hr

... Engineering) as well as external carriers and logistics partners. * Handle sensitive items, including Electrostatic Discharge (ESD) and Moisture Sensitivity Level (MSL) raw components, adhering to ...

L3HHCM20

$79K - $147K/yr

... MSL) sector sites in the following Operations Centers of Excellence: Manufacturing Operations, Manufacturing Engineering, Quality & Mission Assurance, Scheduling & Material Planning and Supply Chain ...

Qualcomm

Staff NPI Quality Engineer-DataCenter

San Diego, CA · On-site

$76K - $98K/yr

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: Primary ... Provide guidance on NPI/PCN risk, manufacturing sensitivities (ESD, MSL, SMT), and support RMA/CQE.

Apple

Senior Software Engineer - UI Rendering

Cupertino, CA · On-site

$160K - $199K/yr

Demonstrated track record of leading complex, multi-team engineering projects from concept to ... programming (MSL/GLSL/HLSL). * Familiarity with iOS, macOS, watchOS, or visionOS software ...

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How much do msl engineering jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for msl engineering in California is $73.37, according to ZipRecruiter salary data. Most workers in this role earn between $34.42 and $100.82 per hour, depending on experience, location, and employer.

What is an MSL Engineering?

An MSL (Medical Science Liaison) Engineering job combines technical expertise with medical and scientific knowledge to support the development and use of medical devices, pharmaceuticals, or biotechnology products. These professionals act as a bridge between engineering teams and healthcare providers, explaining product functionality, ensuring regulatory compliance, and gathering feedback for improvements. They often work with R&D teams, clinical specialists, and regulatory bodies to ensure products meet industry standards and patient needs.

What does an MSL Engineering do?

A typical day in an MSL Engineering role often involves meeting with healthcare professionals or key opinion leaders to discuss the scientific and technical aspects of medical products, preparing and delivering presentations, and collaborating with R&D or regulatory teams. You might also analyze clinical data, support product launches, and provide field-based technical training. Expect to spend significant time traveling to client sites, conferences, or hospitals, and to work both independently and within cross-functional teams. This dynamic environment provides exposure to cutting-edge technologies and fosters opportunities for career advancement in both technical and scientific leadership paths.

What are the key skills and qualifications needed to thrive in an MSL Engineering position?

To thrive in MSL (Medical Science Liaison) Engineering, candidates typically require a strong engineering background (such as in biomedical or mechanical engineering), experience in the life sciences or medical devices sector, and a relevant degree. Familiarity with regulatory standards (like FDA or ISO), product lifecycle management tools, and possibly certifications such as Six Sigma can be important. Excellent communication, relationship-building, and problem-solving skills are essential to effectively collaborate with both medical experts and internal teams. These competencies enable effective translation of complex engineering concepts, foster trust with stakeholders, and support successful product adoption in highly regulated industries.

What are popular job titles related to Msl Engineering jobs in California?

For Msl Engineering jobs in California, the most frequently searched job titles are:

What job categories do people searching Msl Engineering jobs in California look for?

The top searched job categories for Msl Engineering jobs in California are:

Msl Engineering jobs near you
Infographic showing various Msl Engineering job openings in California as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, 2% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $152,610 per year, or $73.4 per hour.

Product Operations Manager, Meta Superintelligence Labs

Meta

Menlo Park, CA • Remote

$123K/yr

Full-time

Re-posted 14 days ago

Key responsibilities

  • Own end-to-end product quality programs, including launches, dogfooding, RCAs, SEVs, and app health regressions, automating processes for high reliability.

  • Design, build, and operate autonomous AI agents and workflows for bug triage, prioritization, classification, deduplication, and resolution.

  • Partner with engineering and product teams to drive resolution of high-priority issues and influence product roadmap based on quality insights.

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies

Job description

Meta is seeking a Product Operations Manager to join Meta Superintelligence Labs Product Operations and drive product quality, AI-powered automation, and operational excellence across MSL surfaces, specifically TBD Labs. We are in the middle of a transformation, becoming an AI-driven, IC-led organization that scales through orchestration, deep product expertise, and technical excellence. Our team is building and operating autonomous agents that handle end-to-end workflows (triage, bug resolution, launches, dogfooding, evals) with minimal human intervention.If you're energized by owning complex quality programs end-to-end, building and operating AI-driven workflows, and driving measurable product improvements in a fast-paced environment, this role is for you.You will be responsible for investigating and communicating the quality of MSL products to engineering, product, design, and other cross-functional partners. You will own AI builds for collecting, generating, and triaging reported quality issues. Additionally, you will partner with product and engineering teams to implement process and tooling improvements focused on driving developer efficiency, resolution of issues, and improved product quality.
Product Operations Manager, Meta Superintelligence Labs Responsibilities:
  • Become an expert in the health and quality of MSL products, identifying trends, regressions, and user pain points through data analysis and hands-on product usage
  • Own end-to-end product quality programs for your area, including launches, dogfooding, RCAs, SEVs, and app health regressions automating first and operating with high reliability
  • Design, build, and operate autonomous AI agents and workflows for your product area: bug triage, prioritization, classification, deduplication, and resolution
  • Partner with engineering and product teams to drive resolution of high-priority issues and influence product roadmap based on quality insights
  • Prepare communication materials and progress tracking for multiple audiences including delivering updates to leadership stakeholders
  • Collect, analyze, and leverage data to identify quality trends and inform product decisions
  • build dashboards and metrics to drive data-driven decision making
  • Build and maintain an evals practice for your area, ensuring AI solutions meet accuracy thresholds through LLM judges, labelers, and governance frameworks
  • Assess and improve existing AI solutions within your scope, driving migration to standard platforms and partnering with AI Implementations leadership on scaling decisions
  • Coordinate with cross-functional teams and Foundations partners to align on org-wide priorities and share best practices
  • Design and operate AI workflows that comply with MSL data sensitivity guardrails, ensuring quality signals are collected and processed within encryption boundaries and privacy-first constraints

Minimum Qualifications:
  • Bachelor's degree in a directly related field, or equivalent practical experience
  • 8+ years of experience in product operations, business operations, strategy, consulting, or technical program management within a technology or AI-focused organization
  • Analytical experience using data to tell a story and influence product direction using intermediate to advanced SQL
  • Experience building or deploying AI/ML solutions or automation in production workflows
  • Experience communicating and influencing multiple cross-functional stakeholders and senior leadership
  • Experience solving problems and breaking down ambiguous issues into component parts to develop solutions

Preferred Qualifications:
  • Familiarity with AI or ML product development lifecycles, including model evaluation, safety review, and deployment processes
  • Track record of defining operational strategy in ambiguous, fast-moving environments and driving adoption across large cross-functional organizations
  • Experience building or improving operational tooling such as project tracking systems, workflow automation, or data pipelines to support research or engineering teams
  • Experience working within an AI research, machine learning, or large-scale model development organization

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$123,000/year to $179,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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