Engineering Jobs in Emerald Hills, CA

This role will be responsible for developing clear, comprehensive Standard Operating Procedures (SOPs) that guide research participants on how to properly use prototype devices during user research studies. The ideal candidate brings hands on user research experience, has worked directly with participants and hardware prototypes, and is comfortable translating complex device interactions into participant friendly documentation.

Key Responsibilities

• Develop and write comprehensive SOPs (Standard Operating Procedures) that clearly outline how participants should interact with consumer electronic prototype devices during user research studies

• Partner closely with Study Managers and Research Assistants to ensure SOPs are accurate, thorough, and aligned with study protocols

• Translate technical or complex device workflows into clear, easy to follow participant instructions

• Ensure SOPs support consistent, safe, and effective participant interactions with prototype devices

• Iterate on SOP documentation based on study needs, feedback, and changes to prototype functionality

• Support operational consistency across studies by maintaining high documentation standards

MH

• Prior experience in user research, UX research, or research moderation, working directly with study participants

• Hands on experience supporting studies involving prototype devices or consumer electronics

• Proven experience creating SOPs or participant-facing documentation for user research studies

• Strong collaboration skills and experience working cross functionally with research teams

• Excellent written communication skills with the ability to simplify complex processes

+

Education: B.S./B.A. or M.S./M.A. in Engineering, Physics, Computer Science, Human Factors, Psychology, or related STEM fields

$35/hr to $40/hr.

Exact compensation may vary based on several factors, including skills, experience, and education.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

Location: Palo Alto, CA

Employment Type: Full-Time

Salary Range: $100,000–$160,000 annually (depending on experience)

Industry: Commercial & Industrial Electrical Contracting

About the Role

We are seeking a seasoned Electrical Construction Project Manager to lead and oversee complex commercial and industrial electrical projects throughout the Bay Area. This role demands a proactive leader with deep technical knowledge, strong client-facing skills, and the ability to manage multiple projects from pre-construction through closeout.

Key Responsibilities

• Project Oversight: Manage all phases of electrical construction projects, including planning, budgeting, scheduling, procurement, and execution.
• Team Leadership: Supervise field crews, foremen, and subcontractors to ensure safety, quality, and productivity.
• Client Relations: Serve as the primary point of contact for clients, architects, engineers, and inspectors.
• Estimating & Bidding: Collaborate with estimators to develop competitive bids and value-engineered solutions.
• Compliance & Safety: Ensure adherence to NEC, OSHA, and local building codes.
• Documentation: Maintain accurate project records, RFIs, change orders, and progress reports.

Qualifications

• Experience: 7+ years in electrical construction project management, preferably in commercial or industrial sectors.
• Education: Bachelor’s degree in Electrical Engineering, Construction Management, or related field preferred.
• Certifications: OSHA 30, PMP, or equivalent credentials are a plus.
• Technical Skills: Proficiency in project management software (e.g., Procore, Bluebeam, MS Project).
• Knowledge Base: Strong understanding of electrical systems, blueprints, and construction sequencing.
• Soft Skills: Excellent communication, leadership, and problem-solving abilities.

What We Offer

• Competitive compensation up to $160K and performance-based bonuses
• Health, dental, and vision insurance
• 401(k) with company match
• Paid time off and holidays
• Career development and training opportunities
• A collaborative, growth-oriented company culture

Mid-Level Technical Writer (Engineering SME)

Palo Alto, CA

Hybrid

Role Summary

The Mid-Level Technical Writer will support the development of validation test reports, test plans, procedures, and related documentation in close coordination with Auto OEM engineering teams and the Senior Lead. The role requires technical fluency and the ability to transform raw data and engineering input into clear, organized, and accurate documentation.

Key Responsibilities

• Prepare and update validation test reports based on engineering inputs and test data
• Support creation and maintenance of test plans, procedures, and setup documentation
• Organize complex technical information into structured report formats
• Work with engineering teams to ensure documentation accuracy and completeness
• Support revisions, document updates, and alignment to agreed templates and standards
• Assist in creation of diagrams, visuals, and setup descriptions as needed
• Track and manage assigned work using Auto OEM tools and workflows

Required Qualifications

• Bachelor’s degree in engineering or a related technical field
• Experience in technical writing for engineering, manufacturing, testing, or product development environments
• Ability to understand engineering concepts and translate them into well-structured technical documents
• Experience supporting documentation such as test reports, test plans, procedures, work instructions, or validation records
• Strong written communication and organizational skills
• Must be able to work in a hybrid onsite U.S. model

Preferred Qualifications

• Prior experience in automotive or EV programs
• Exposure to validation, systems engineering, hardware testing, or product verification documentation
• Experience supporting technical diagrams or setup illustrations

• 
  
• You will join a team of seven scientists responsible for producing pilot-scale biological products that support biologics programs, trouble shooting and improving processes. The team implements new technologies to enhance operational capability, capacity, and efficiency across the site.
  

• 
  
• Technical & Operational
  
• Plan and execute downstream purification and scale-up activities including filtration, chromatography, and buffer preparation.
  
• Support upstream operations as needed to ensure seamless end-to-end process execution.
  
• Monitor, analyze, and interpret process and performance data; prepare clear summaries of findings as appropriate.
  
• Maintain laboratory readiness, including equipment maintenance, analytical instrument upkeep, consumable inventory management, and general lab support.
  
• Communication & Collaboration
  
• Present data, results, and conclusions in group meetings and cross functional discussions.
  
• Communicate technical information clearly and effectively to colleagues at varying levels.
  
• Work with a team-oriented, collaborative, and solutions-focused mindset.
  
• Maintain a strong safety focus in all laboratories and pilot operations.
  

• 
  
• Hands-on experience with downstream purification operations, including centrifugation, chromatography, TFF, and depth filtration.
  
• Proficiency with AKTA systems and UNICORN programming.
  
• Practical experience in chromatography column operations, including resin packing and unpacking at various scales (e.g. 4.4 to 30 cm internal diameter columns).
  
• Strong verbal communication, technical writing, and documentation skills.
  
• Ability to work effectively in cross functional teams and in a dynamic environment.
  
• Self-motivated, organized, and comfortable with scientific problem solving.---
  

• 
  
• Experience in pilot plant operations for biologics in a single-use facility.
  
• Familiarity with Process Development and/or current Good Manufacturing Practices (cGMP), technology transfer, plant operations, and bioprocess scaleup principles.
  

• 
  
• AA/AS degree with 2+ years of relevant industry experience (purification techniques), or
  
• BS/BE in Chemical/Biochemical Engineering, Biochemistry, Biology, or related discipline with 1+ year of relevant experience.
  

• 
  
• Initial Zoom screening, followed by 1:1 interview with the hiring manager and 1-2 team members.
  

• 
  
• Onsite
  

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Within our Ads Performance and Ads Delivery teams, we connect the dots between what Pinners aspire to do and the products our advertising partners offer-building personalized, discovery-driven experiences that help people create a life they love. Pinterest is just over 4,000 employees globally, which means our teams stay small, high-ownership, and fast-moving, with hands-on access to an exceptional vault of data and the chance to build and evolve large-scale recommendation and ranking systems at real-world scale.

We're hiring multipleStaff Machine Learning Engineersacross ourAds Machine Learningorg withinMonetization Engineering. In this role, you'll lead innovation across core applied ML and marketplace technologies that power our ads ecosystem-advancing our ads ranking stack, building the next generation of scalable ads retrieval models, and improving shopping discovery for millions of users. You'll also help shape the evolution of the Pinterest marketplace by designing systems and experiments that improve the ads delivery funnel, inform the utility function, and influence auction mechanisms and ad allocation-using deep analysis of marketplace dynamics to unlock new insights. Overall, this is a high-impact opportunity to define what great looks like for Pinterest Shopping Ads, directly improving both user experience and advertiser outcomes in a uniquely discovery-first marketplace.

What you'll do:

• 
  
• Design features and build large-scale machine learning models to improve user ads action prediction with low latency
  
• Drive innovation in personalized Shopping Ads recommendations through advanced modeling
  
• Develop new methods for inferring user interests from online and offline activity
  
• Mine text, visual, user signals to better understand user intention
  
• Leverage multimodal signals (text, visual, user) to better understand user intent
  
• Collaborate with product and sales teams to design and implement new ad products
  
• Partner cross-functionally with product, sales, data science, and engineering teams to design and improve user journey and optimize ads performance across all stages of retrieval and ranking
  
• Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest.
  
• Define and implement experiments to understand long term Marketplace effects
  
• Develop strategies to balance long and short term business objectives.
  
• Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations.
  

What we're looking for:

• 
  
• Degree in Computer Science, Machine Learning, Statistics or related field
  
• Experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing
  
• Experience leading projects and mentoring team members
  
• Strong mathematical skills with knowledge of statistical methods
  
• Excellent written and verbal communication skills and strong cross-functional collaboration
  
• Background in computational advertising is a plus, but not required
  

This position is not eligible for relocation assistance.

#LI-HYBRID

#LI-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

We're seeking an Engineering Manager to build and lead the next generation of Pinterest's big data storage platform. You'll grow and guide a team working with cutting-edge open source technologies-especially Apache Iceberg-operating at exabyte scale to power the data that helps Pinners discover and do what they love.

What you'll do:

• 
  
• Own the technical vision and long-term roadmap of Pinterest's exabyte data lake storage
  
• Collaborate with stakeholders and partner teams across the organization to architect data lake storage and metadata management technologies to unlock big data and ML/AI innovations
  
• Drive engagement and collaboration with open source communities, such as Iceberg, Spark, and Flink, to effectively address our scaling challenges
  
• Act as a stalwart of technical quality and excellence on the team, ensuring the solutions we deliver have a high level of polish and reliability
  

What we're looking for:

• 
  
• Bachelor's degree in a relevant field such as Computer Science, or equivalent experience
  
• 2+ years of management experience, or 3+ years tech lead experience in a 5+ person team
  
• 8+ years of relevant industry experience in leading the design of large scale & production distributed systems.
  
• Deep knowledge with building distributed systems.
  
• Strong cross-functional collaborator and communicator.
  
• Strong people development skills.
  
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-HYBRID

#LI-AH2

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

QA Manager

NeuBird is scaling rapidly and we need a hands-on QA leader who can build quality into everything we ship while still rolling up their sleeves to write tests and debug complex issues. You'll own quality across our AI-powered DevOps platform while building and mentoring a distributed QA team.

What You'll Do

Lead quality assurance for Hawkeye, our AI SRE agent that helps teams manage and troubleshoot their production environments. You'll design and implement comprehensive test strategies covering UI, integration, and AI-specific testing while building the automation frameworks that let us ship fast without breaking things.

You'll manage a distributed QA team across the US and India, balancing hands-on testing work with coaching and process improvement. This means writing critical test cases yourself, reviewing automation PRs, coordinating testing across time zones, and partnering with engineering to catch issues before they reach customers. You'll own test infrastructure, establish quality metrics that matter, and be the voice of the customer when making tradeoffs between speed and stability.

This role reports to the VP of Engineering and will be instrumental in maintaining our product quality as we scale to aggressive growth targets.

What You Bring

You have 5-7 years in QA with at least 2 years managing QA teams, ideally at a B2B SaaS company building infrastructure or observability tools. You're deeply experienced with UI testing frameworks (Selenium, Cypress, Playwright), integration testing in complex distributed systems, and modern automation frameworks (pytest, Jest, TestNG, or similar). You understand the unique challenges of testing observability tools—metrics pipelines, log aggregation, distributed tracing, and alert systems.

Experience testing AI/ML systems is a strong plus—whether that's model validation, testing non-deterministic outputs, or ensuring AI agent reliability. You've worked with distributed teams across multiple time zones and know how to build processes that work asynchronously. You're comfortable with cloud platforms (AWS preferred), containerization, Kubernetes, and CI/CD pipelines.

More importantly, you're still technical. You can debug a failing test, write automation scripts, and jump into code reviews. You don't just manage—you lead by example. You understand that at a startup, sometimes the best leadership is writing the test that unblocks the team.

Why NeuBird

We're building the next generation of AI-powered DevOps intelligence. Join a well-funded team that's moving fast, shipping constantly, and building something genuinely differentiated in a massive market.

Tool Room Manager – Medical Device Manufacturing (Bay Area, CA)

I’m supporting a leading medical device organization that is looking for a hands-on Tool Room Supervisor to lead the maintenance, repair, and optimization of 300+ complex injection molds — including hot runners, PEEK, and glass-filled materials.

This is a high-impact role overseeing a tool room team while driving mold performance, uptime, and continuous improvement across a fast-paced manufacturing environment.

What’s Offered:

• Competitive salary: $130K

• Relocation sign-on bonus for non–Bay Area candidates

• Medical, dental & vision (effective day 1)

• Company-paid life insurance & disability

• 401k with company match

• Generous PTO + 10 paid holidays

• Tuition reimbursement

• Additional perks: legal plan, pet insurance & home ownership program

If you have strong experience in injection mold repair, tooling, EDM, TIG welding, hot runners, or tool room leadership, I’d love to connect.

Interested? Send me your resume or best contact information or resume.

#injectionmolding #tooling #manufacturing #medicaldevices #hiring #toolroom #moldmaking #engineering #bayareajobs

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• Degree in computer science, statistics, or related field; or equivalent experience
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• Nice to have:
  
  • 
    
  • M.S. or PhD in Machine Learning or related areas
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-HYBRID

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keeping up with industry trends in recommendation systems
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Degree in computer science, machine learning, statistics, or related field
  
• Nice to have:
  
  • 
    
  • M.S. or PhD in Machine Learning or related areas
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-SA1

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion: