Engineering Structures Jobs Full Time Jobs in Berkeley, CA
1,517 positions found — Page 3
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.
Pinterest is seeking an Engineering Manager to lead our User Understanding team. This team builds and maintains the data and backend systems that drive user modeling, personalization and recommendations-impacting hundreds of millions of users every day. You'll set technical vision, empower a talented group of engineers, and collaborate closely with Machine Learning, Product, and Data Science to unlock better user experiences. We're looking for a leader with deep infrastructure expertise, a passion for personalization and ML-driven experience, and a strong record of delivering ML-enabling platforms at scale.
What you will do:
- Lead and mentor a team of experienced machine learning engineers in developing advanced user understanding models and systems, which are integral to key Pinterest products across Discovery, Ads, and Growth.
- Collaborate cross-functionally with partners in Product, Data Science, and Engineering to define strategy, set priorities, and effectively integrate user insights into core systems and product features.
- Drive experimentation and adoption of new user understanding models with product teams across Pinterest, ensuring measurable end-to-end impact on key metrics.
- Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals.
- Provide thought leadership in user modeling and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field.
- Foster a collaborative, inclusive, and high-performing team culture.
What we're looking for:
- 6+ years of industry experience in applied machine learning or closely related roles, with experience developing large-scale machine learning for recommendation or ads systems.
- 2+ years of people management experience leading engineering teams.
- Demonstrated ML expertise with a proven track record of impactful solutions and a deep understanding of large scale distributed systems.
- Strong technical leadership, including a passion for driving technical direction, system architecture, and designing robust, scalable ML solutions.
In-Office Requirement Statement:
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.
#LI-AK7
#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.
US based applicants only$189,308—$389,753 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
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 600 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, machine learning, statistics, or related field
- 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:
- 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
#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.
US based applicants only$163,418—$285,982 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
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.
US based applicants only$189,721—$332,012 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
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.
Pinterest helps Pinners discover and do what they love. Core Engineering touches every surface the Pinner sees across the app and forms the front-and-center of the Pinterest experience for 500M+ Pinners every month. The Core team's mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Machine Learning Engineer Engineering Manager II who can drive the team's technical direction, strategic planning and execution. You'll have the opportunity to lead a team that works cross-team on various innovative projects of new product experiences, builds large-scale low-latency systems and state-of-the-art machine learning models, and delivers great impact to our pinners and business metrics.
What you'll do:
- Be responsible for major areas of search, recommendations, notifications, etc for more than 500 million monthly active Pinterest users. Potential areas of impact include ML based retrieval, multi domain ranking, L1 modeling, candidate generators, sequence modeling, relevance modeling, and infrastructure efficiency and scalability.
- Deeply understand the Pinterest product and drive the vision for the team, ensuring the team's work directly contributes to the company's goals.
- Manage and mentor a team of Machine Learning engineers (L13 - L16), providing technical guidance and support to help them grow their careers. Identify team needs and hire strong candidates.
- Collaborate closely with other engineering teams at Pinterest to enhance the experience for users, including Advanced Technology Group, Infrastructure, Content Understanding and User Understanding.
- Provide visibility to senior leadership regarding the team's global impact.
- Partner with stakeholders across the company, including product management, data scientists, and design, to shape the future of the content ecosystem and personalization at Pinterest.
- Build a culture of excellence and expertise within the team.
What we're looking for:
- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
- Experience leading and working on a large-scale production recommendation, e-commerce, search or ads systems that are based on state-of-the-art machine learning and big data technology.
- Strong experience in related fields such as recommendation systems and applied machine learning experience is required. Natural language processing and computer vision is a bonus.
- Demonstrated ability to define and drive the strategic roadmap for scalable, production-quality systems from concept to execution.
- Strong focus on product impact and user experience within a consumer-focused environment.
- Minimum of 1 year of experience managing a high-performing machine learning engineering team of 10+ members.
- 8+ years of experience in software development, with a proven track record of delivering impactful solutions.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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.
#LI-REMOTE
#LI-DM57
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.
US based applicants only$189,308—$389,753 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
This is a multi-year contract with our direct client.
No third parties!
The Early Clinical Development (ECD) department with our South San Francisco, CA client is seeking a talented and motivated Senior AI Full Stack Engineer reporting to the Director of software engineering at The Clinical Data Insights & Automation team (CDI&A). The CDI&A team collaborates with a broad range of stakeholders involved in the clinical development process (e.g., Clinical Science, Clinical Operations, Medical Writing, Quality, Regulatory). It develops industry-leading solutions for highly complex business problems. To manage the design and pilot of these software products, they apply a high degree of ingenuity and creativity while maintaining a finger on the pulses of the rapidly changing tech and healthcare landscapes.
The Software Engineer will primarily be responsible for designing, developing, and deploying software which interacts with cutting-edge generative AI models and applications in collaboration with AI scientists, full stack developers, and others. Their work will directly impact our ability to create and deliver innovative solutions that leverage AI to solve complex problems and enhance user experiences.
The Opportunity:
- Innovate and develop software applications to support clinical development
- Identify and integrate AI/LLM capabilities to enhance data processing and natural workflows.
- Design intuitive, user-centric interfaces.
- Code Quality and Documentation: Write clean, maintainable, and well-documented code. Participate in code reviews and contribute to best practices in software development.
- Research and Innovation: Stay up-to-date with the latest advancements in generative AI and machine learning. Evaluate new technologies and methodologies to continuously improve our solutions.
- Collaborate with Cross-Functional Teams: Work closely with data scientists, engineers, and product managers to integrate generative AI capabilities into our products and services.
- Deployment and Monitoring: Develop and maintain robust deployment pipelines for AI-enhanced applications. Monitor pipeline performance in production and implement necessary improvements.
Who You Are:
- An experienced full stack developer capable of bringing your expertise to our existing and upcoming AI applications/projects as both a leader and individual contributor.
- Someone with a clear understanding of the current landscape of AI & AI-based applications, including potential benefits, limitations, and standard of practice.
Minimum Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
- 5+ years of full stack development experience
- Strong proficiency in either a front-end framework (js, React, or similar) and a backend web frameworks in Python and/or JavaScript (Django, FastAPI, Flask, Next.js, or similar)
- 4+ years experience with front-end frameworks (preferably js)
- 2+ years of developing and deploying AI/ML solutions or applications
- Experience designing and developing RESTful APIs (with e.g. Python FastAPI).
- Familiarity with prompt engineering
- Proficiency with containerized workflows and architectures (Podman, Docker, Kubernetes)
- Strong automated software testing skills (Python unittest, jest, Playwright)
- Familiar with Agile methodologies
- Excellent analytical and problem-solving skills with a track record of tackling complex technical challenges.
- Leading system design and implementing scalable, fault-tolerant solutions for complex, distributed computing challenges.
- Strong interpersonal and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Experience with cloud platforms (e.g. AWS) and modern data platforms (e.g., Snowflake).
- Experience implementing chatbots, retrieval-augmented generation (RAG) systems, and integrating LLMs into applications (AI-assisted automation)
Preferred Qualifications:
- Experience building AI agents, fine-tuning LLM models, and evaluating bias and fairness with LLM systems
- Experience in developing Microsoft Word add-ins using js.
- Experience with web technologies like JWT, WebSockets, etc.
- Experience with Huggingface, Langchain, TensorFlow, PyTorch, or similar.
- Familiarity with DevOps, infrastructure, and continuous integration concepts.
- Familiarity with CRDT technologies like Yjs.
- Experience with using NLP/LLMs on clinical text.
- Basic knowledge of clinical drug development
Duration: 12 months (possible extension)
Description:
Job Title: Senior AI Fullstack Engineer
The Position
- We advance science so that we all have more time with the people we love. Client's Early Clinical Development (ECD) department is seeking a talented and motivated Software Developer reporting to the Director of software engineering at The Clinical Data Insights & Automation team (CDI&A).
- The CDI&A team collaborates with a broad range of stakeholders involved in the clinical development process (e.g., Clinical Science, Clinical Operations, Medical Writing, Quality, Regulatory). It develops industry-leading solutions for highly complex business problems. To manage the design and pilot of these software products, they apply a high degree of ingenuity and creativity while maintaining a finger on the pulses of the rapidly changing tech and healthcare landscapes.
- The Software Engineer will primarily be responsible for designing, developing, and deploying software which interacts with cutting-edge generative AI models and applications in collaboration with AI scientists, full stack developers, and others. Their work will directly impact our ability to create and deliver innovative solutions that leverage AI to solve complex problems and enhance user experiences.
The Opportunity:
- Innovate and develop software applications to support clinical development
- Identify and integrate AI/LLM capabilities to enhance data processing and natural workflows.
- Design intuitive, user-centric interfaces.
- Code Quality and Documentation: Write clean, maintainable, and well-documented code. Participate in code reviews and contribute to best practices in software development.
- Research and Innovation: Stay up-to-date with the latest advancements in generative AI and machine learning. Evaluate new technologies and methodologies to continuously improve our solutions.
- Collaborate with Cross-Functional Teams: Work closely with data scientists, engineers, and product managers to integrate generative AI capabilities into our products and services.
- Deployment and Monitoring: Develop and maintain robust deployment pipelines for AI-enhanced applications. Monitor pipeline performance in production and implement necessary improvements.
Who You Are:
- An experienced full stack developer capable of bringing your expertise to our existing and upcoming AI applications/projects as both a leader and individual contributor.
- Someone with a clear understanding of the current landscape of AI & AI-based applications, including potential benefits, limitations, and standard of practice.
Minimum Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
- 5+ years of full stack development experience
- Strong proficiency in either a front-end framework (Vue.js, React, or similar) and a backend web frameworks in Python and/or JavaScript (Django, FastAPI, Flask, Next.js, or similar)
- 4+ years experience with front-end frameworks (preferably Vue.js)
- 2+ years of developing and deploying AI/ML solutions or applications
- Experience designing and developing RESTful APIs (with e.g. Python FastAPI).
- Familiarity with prompt engineering
- Proficiency with containerized workflows and architectures (Podman, Docker, Kubernetes)
- Strong automated software testing skills (Python unittest, jest, Playwright)
- Familiar with Agile methodologies
- Excellent analytical and problem-solving skills with a track record of tackling complex technical challenges.
- Leading system design and implementing scalable, fault-tolerant solutions for complex, distributed computing challenges.
- Strong interpersonal and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Experience with cloud platforms (e.g. AWS) and modern data platforms (e.g., Snowflake).
- Experience implementing chatbots, retrieval-augmented generation (RAG) systems, and integrating LLMs into applications (AI-assisted automation)
Preferred Qualifications:
- Experience building AI agents, fine-tuning LLM models, and evaluating bias and fairness with LLM systems
- Experience in developing Microsoft Word add-ins using Office.js.
- Experience with web technologies like JWT, WebSockets, etc.
- Experience with Huggingface, Langchain, TensorFlow, PyTorch, or similar.
- Familiarity with DevOps, infrastructure, and continuous integration concepts.
- Familiarity with CRDT technologies like Yjs.
- Experience with using NLP/LLMs on clinical text.
- Basic knowledge of clinical drug development
About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Recruiter Details:
Name: Prateek Chaturvedi
Email:
Internal Id: 26-06298
Business Unit: Electric Operations
The workers of Electric Operations ensure the delivery of safe and reliable electric service to our customers. Electric Operations is responsible for every aspect of PG&E's electric distribution and transmission operations, including planning, engineering, maintenance and construction, asset management, business planning, restoration and emergency response.
This classification is represented by IBEW Local 1245, which has over 100 years of experience representing employees at PG&E. A coworker who has the qualifications of a Cable Splicer, is familiar with the underground system and has the experience and ability to analyze cable and equipment troubles quickly and to restore services promptly by replacing fuses, switching, disconnecting defective cables or apparatus, making repairs, etcetera. May be required to perform other underground work such us preparing cable racks, pulling in and racking cables, maintaining equipment in the underground system, etc. Shall install and maintain services, meters, and equipment including conduit and wiring up to the meter on customers' premises and shall handle trouble in such installations. Drives a truck and operates the associated equipment as assigned. Background of apprenticeship and experience must be such as to qualify an employee to perform these duties with skill and efficiency. This position may be subject to Joint Apprentice Training Committee (JATC) review and approval. Provisional hires will be required to participate in targeted training to achieve journey-level knowledge of electrical technician roles and responsibilities.
PG&E is providing the hourly rate that the company in good faith believes it might pay for this position at the time of the job posting. This position is subject to collectively bargained hourly wage rates and increases. The starting wage rate for this position is $67.58 per hour. The wage rate is based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, collective bargaining agreements, and internal equity.
Perform all necessary duties with skill and efficiency by performing maintenance on underground transmission and distribution lines.
Perform work in connection with the construction and maintenance of underground manholes, vaults, splice boxes, duct lines and similar structures.
Installs and maintains services, meters, and equipment including conduit and wiring up to the meter on customers' premises
Maintains equipment in the underground system
Prepares cable racks
Pulls and racks underground cables and wires into and out of pipes, conduits and duct lines.
Splices cables of any kind or voltage for the connection of cable, transformers, junction boxes, and other equipment in the underground or overhead systems or stations.
Ensure effective customer and internal communication.
Analyze cable and equipment trouble quickly and restore services promptly by replacing fuses, switching, disconnecting defective cable on apparatus efficiently.
Identify the location of and extent to which underground structures such as man holes and vaults have been damaged and perform minor repairs safely on underground enclosures.
Isolate Network grid secondary’s and Network Protectors (NP’s).
Install and remove Recording Volt Meters (RVM’s) for power quality research.
Drive trucks, vans, and equipment and operate the associated equipment as assigned.
May work with crew or independently. May oversee a crew and its equipment engaged in pulling underground cables and wires of all sizes, types, lengths and number of conductors into and out of pipes, conduits and duct lines and other necessary work in conjunction with pulling of cables.
Support and maintain a working relationship with other departments which include, Distribution Operators, Service Op drive erectors, Engineering, Estimating and Construction to improve processes and ensure a high level of customer service.
Working knowledge of available mobile technical software.
CA CDL Class A Permit, or equivalent, subject to 150% driver/vehicle ratio
Knowledge of procurement strategies and processes and relevant regulatory framework as needed to perform at the job level
Must possess a High School diploma or GED
Completion of formal union sanctioned Cable Splicer apprenticeship
Must possess an IBEW journey- level card for a Cable Splicer or State or JATC certification
Able to wear company provided Personal Protective Equipment (PPE)
Able to work extended hours, nights, weekends and holidays
Able to travel to job sites as necessary
Ability to work shift schedule (evening)
Ability to complete and obtain a 40 hour Switchman Training Certification/Card
If hired as Provisional, must pass the provisional training plan within one year from hire date
Must qualify on Cable Splicer Assessment
Must possess and maintain a valid Class C California Driver's License (or higher) by Day 1 of hire
Must possess and maintain a valid Class A California Driver's License Permit by within 3 months of hire
~ Must possess and maintain a valid Class A California Driver's License Permit by Day 1 of hire
~ Must possess and maintain a valid DMV Medical Card by Day 1 of hire
Live within 30 minutes of headquarters due to emergency and urgent requests
Experience as a cable splicer with familiarity of underground and network systems (lead training)
Minimum of two years of experience as a Journey Cable Splicer
Ability to properly ground conductor cable and equipment
Ability to install switches, transformers and banking transformers
Ability to tag and identify underground cable and equipment
Ability to operate load break and dead break equipment
Ability to phase lines and equipment
Ability to work on lead splices such as hot solder wipes
Ability to work on network systems and its equipment
Pre-Employment Testing
PG&E Employees: You must have qualified on all prerequisite tests prior to submitting an application, and all secondary tests prior to interviewing. For more information on prerequisite and secondary exams, including study guides, please visit the Pre-employment testing program website.
Post-Offer Physical Assessment Apprentice Cable Splicer
Cable Splicer Assessment
The Engineering Assistant will provide technical and administrative support within an engineering environment. This role supports a team of engineers and assists with work related to the design, construction, maintenance, and operation of infrastructure. Under general supervision, the Engineering Assistant will perform a variety of technical and office-based tasks, including but not limited to:
- Creating charts, graphs, drawings, and technical sketches
- Collecting, reviewing, and analyzing engineering data
- Performing and verifying mathematical calculations
- Preparing and reviewing computer inputs and outputs
- Writing, updating, and revising basic computer programs or automated tools
- Managing engineering drawings, files, and documentation
- Assisting with contract-related tasks and general administrative support associated with technical office operations
Qualifications
- Associate degree in Engineering or an equivalent combination of technical education and relevant experience
- 2-3 years of experience in clerical or administrative support roles
- Proficiency with business and technical software, such as Microsoft Office Suite, SAP, Adobe Acrobat, or similar tools
- Ability to interpret written technical standards and effectively communicate information both verbally and in writing
- Experience preparing complex forms, reports, records, and reference materials used for reporting and audits
- Strong work ethic and a high level of professionalism
- Excellent interpersonal skills with a positive, collaborative, team-oriented mindset
- Strong attention to detail and accuracy
- Clear and effective written and verbal communication skills
Talent Acquisition Manager – AI Infrastructure & Engineering
San Francisco, California
Hybrid Working
We are expanding our global team and launching a new office in San Francisco.
WNTD is looking for an experienced Talent Acquisition Manager to join our Talent Solutions team and support the continued growth of AI infrastructure and accelerated compute platforms across North America.
This role will support one of the most significant AI infrastructure expansion programmes currently underway, focused on building next generation platforms powered by NVIDIA accelerated compute.
You will work closely with senior technical leaders to attract and hire talent across the full infrastructure stack including software engineering, AI platforms, GPU environments and large scale compute infrastructure.
This is a delivery focused role supporting high growth engineering programmes across AI infrastructure and cloud platforms.
The Role
You will lead hiring across multiple engineering disciplines spanning software engineering, AI infrastructure platforms and high performance compute environments.
Working closely with technical leadership and programme stakeholders, you will build pipelines of high quality candidates and manage fast moving hiring plans across several technical workstreams.
Key Responsibilities
• Build and manage talent pipelines across software engineering, AI infrastructure and GPU compute environments
• Proactively source talent across the United States through mapping, referrals and direct outreach
• Screen candidates for technical capability, experience and long term fit
• Partner with engineering leaders to define hiring priorities and role requirements
• Maintain clear tracking of hiring pipelines and delivery progress
• Support wider Talent Solutions activity during peak delivery phases
• Ensure a professional and consistent candidate experience
• Champion fair and inclusive hiring practices
Key Experience
• Proven experience hiring across complex engineering environments
• Strong track record building pipelines across software and infrastructure roles
• Comfortable engaging with technical stakeholders and discussing engineering topics
• Excellent communication and stakeholder management skills
• Strong organisation with the ability to manage multiple roles simultaneously
What We Offer
• Competitive salary and benefits
• Opportunity to support one of the fastest growing AI infrastructure build programmes globally
• Growth within a high performing delivery focused team
• Hybrid working model
• A collaborative culture that values ownership, pace and problem solving
Additional Requirements
• Ability to commute to the San Francisco office
• No visa sponsorship available
• Hybrid working model
Job Description
At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
The Boeing Company is currently seeking a Senior Real Time Software Engineer to join the F/A-18 Mission Systems organization located in Berkeley, MO. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization.
Our Air Dominance software engineers design, develop, and demonstrate avionics solutions for the platforms we build and upgrade. Your efforts will assist in integration of innovative technologies to maintain our platform's dominance over the battlefield for many decades to come.
Our engineers are involved in all aspects of the software development lifecycle, and our agile development approach allows new hires to quickly become very impactful and make a difference to our success! To learn more about Boeing Software Engineering, look at our video: .
The selected candidate will have the opportunity to join the F/A-18 Mission Systems software team and support various capabilities within the Vehicle Health Management team.
Our teams are currently hiring for a broad range of experience levels including: Experienced and Senior Level Software Engineers.
Position Responsibilities:
- Leads the design, development, tests, and maintenance of embedded software throughout the end-to-end lifecycle that meets industry, customer, safety, and regulation standards
- Reviews, analyzes, and translates customer requirements into initial design of software products. Develops, maintains, enhances and optimizes software products and functionalities for systems integrations
- Develops, documents and maintains architectures, requirements, algorithms, interfaces and designs for software products
- Debugs and leads resolution of issues identified to ensure the reliability and efficiency of software products. Handles user inquiries, troubleshoots technical issues and user feedback analysis
- Leads handling of user inquiries, troubleshooting technical issues and user feedback analysis.
- Implements current and emerging technologies, tools, frameworks and changes in regulations relevant to software development
- Develops, establishes, monitors and improves software processes, tools and key performance metrics that align projects with organizational goals and industry benchmarks
- Plans, executes and documents, software research and development projects
- Advises on software domains, system-specific issues, processes and regulations
- Performs software project management activities and software supplier management functions
- Tracks and evaluates software team and supplier performance to ensure product and process compliance to project plans and industry standards
Security Clearance and Export Control Requirements:
This position requires the ability to obtain a Secret US Security Clearance for which the US Government requires US Citizenship. Ability to obtain Secret US Security clearance (Post-Start).
Required Qualifications (Required Skills/ Experience):
- 4+ years' experience with hands on experience writing C++ software for integration with real-time embedded systems
- 4+ years' experience with Vehicle Health Management experience
- 4+ years' experience of training, mentoring, advising junior software engineers across entire lifecycle of software development
- 4+ years' experience working on a project where various software development methodologies are being utilized
- Demonstrated expertise leading complex projects across multiple teams of engineers.
Preferred Qualifications (Desired Skills/Experience):
- Bachelor of Science degree from an accredited course of study in engineering, engineering technology (including manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science
- Familiarity with implementation and requirements of Vehicle Health Management areas such as Built in Test, Power Control, Maintenance Codes, Erase, Loading
- Software development experience in a collaborative team environment using agile principles and a structured development process including code reviews and automated DevOps processes/tools
- Experience using team collaboration tools including Git, Bitbucket, JIRA, and Confluence
Drug Free Workplace:
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
CodeVue Coding Challenge:
To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration.
Total Rewards & Pay Transparency:
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Summary pay range for Senior: $160,650.00 - $217,350.00.
Applications for this position will be accepted until Mar. 20, 2026
Export Control Requirements:
This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
Export Control Details:
US based job, US Person required
Relocation
This position offers relocation based on candidate eligibility.
Security Clearance
This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.
Visa Sponsorship
Employer will not sponsor applicants for employment visa status.
Shift
This position is for 1st shift
Equal Opportunity Employer:
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
