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Internship

Posted 3 weeks ago

Internship, Embedded Software Engineer, Firmware Platforms (Summer 2026)Tesla

Location

Palo Alto, California, United States

Description

What to Expect Consider before submitting an application:   This position is expected to start May 2026 and continue through summer term (ending approximately August 2026 or later, if available). We ask for a minimum of 12 weeks, full-time (40 hours/week) and on-site, for most internships. Our internship program is for students who are actively enrolled in an academic program. Recent graduates seeking employment after graduation and not returning to school should apply for full-time positions, not internships. International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per week on-site. Many students will be limited to part-time during the academic year. About the Team As a member of the firmware platforms team, you will be responsible for delivering high quality embedded code running on the processors at the heart of Tesla vehicles, energy systems, and robotics. Join a team of deeply knowledgeable engineers that strive to build the most robust and reliable embedded systems using cutting-edge software development tools and practices. You will solve some of the most challenging problems in the embedded software space and change the way the world produces electric vehicles and delivers energy. What You’ll Do Deliver high-quality C code in a real-time embedded environment Specify, design, and implement functionality and behaviors of embedded subsystems Design the software architecture and firmware implementation on hardware through integration, test and high-volume manufacturing Hands-on hardware bring-up, system debugging and code optimization Make performance and optimization trade-offs to meet product requirements What You’ll Bring Currently pursuing a Degree in Computer Science or related field with a graduation date between 2026-2027 The ideal candidate has experience writing firmware in both a bare-metal and RTOS context Experience in embedded development in robotics, real-time controls, or system software is a plus Strong software fundamentals including software design and maintainability Experience with embedded microprocessor tools like debuggers and logic analyzers Test driven development and familiarity with developer-driven automated testing Ability to collaborate and communicate complex technical concepts Compensation and Benefits Benefits As a full-time Tesla Intern, you will be eligible for: Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction Family-building, fertility, adoption and surrogacy benefits Dental (including orthodontic coverage) and vision plans. Both have an option with a $0 payroll contribution Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Medical Plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) 401(k), Employee Stock Purchase Plans, and other financial benefits Company Paid Basic Life, AD&D, and short-term disability insurance Employee Assistance Program Sick and Vacation time (Flex time for salary positions), and Paid Holidays Back-up childcare and parenting support resources Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance Commuter benefits Employee discounts and perks program Expected Compensation $40.00 - $56.00 + benefits

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Internship

Posted 3 weeks ago

Internship, Fullstack Software Engineer, Fleetnet (Summer 2026)Tesla

Location

Palo Alto, California, United States

Description

What to Expect Consider before submitting an application:   This position is expected to start May 2026 and continue through summer term (ending approximately August 2026 or later, if available). We ask for a minimum of 12 weeks, full-time (40 hours/week) and on-site, for most internships. Our internship program is for students who are actively enrolled in an academic program. Recent graduates seeking employment after graduation and not returning to school should apply for full-time positions, not internships. International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per week on-site. Many students will be limited to part-time during the academic year. Internship Programs at Tesla The Internship Recruiting Team is driven by the passion to recognize emerging talent. Our year-round program places the best students in positions that they will grow both technically and personally through their experience working closely with their Manager, Mentor, and team. We are dedicated to providing an experience that allows for the intern to experience life at Tesla by giving them ownership over projects that are critical to their team’s success. Locations: Palo Alto, CA About the Team Come join a small team of experts building the systems that connect Tesla and our customers to their cars, robotaxis, robots, and energy products. At Tesla, we’re at the forefront of connected innovation providing a suite of rich backend services to our growing fleets. The team operates the UI and services behind developer.tesla.com. We own the platform that enables owners to interact with their cars and developers to build device-connected applications. The platform includes Authentication systems and other back-end services powering vehicles and mobile apps. You will evolve across the tech stack to deliver features to millions of customers and improve our products. We are looking for a highly motivated software engineer students specialized in web services and distributed systems. The platform you build will scale novel functionality to millions of users and devices. What You’ll Do Design and build scalable, high-availability mission-critical systems and APIs Migrate systems to designs with improved maintainability and performance Build device-side software to manage security, connectivity, commands and telemetry Solve problems using distributed, asynchronous messaging Work closely with product, SRE and infrastructure teams What You’ll Bring Currently pursuing a degree in Computer Science or a related field with a gradation date between 2026 - 2027 Experience in web development building highly reliable, mission-critical software Proficiency in frontend and backend development, with frequent production releases Experience with Rails, React, Ruby or Webpack Nice to have: Experience with Go and Kubernetes, Knowledge of best practices, information security, and API design principles, Experience with gathering and building requirements from multiple stakeholders Compensation and Benefits Benefits As a full-time Tesla Intern, you will be eligible for: Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction Family-building, fertility, adoption and surrogacy benefits Dental (including orthodontic coverage) and vision plans. Both have an option with a $0 payroll contribution Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Medical Plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) 401(k), Employee Stock Purchase Plans, and other financial benefits Company Paid Basic Life, AD&D, and short-term disability insurance Employee Assistance Program Sick and Vacation time (Flex time for salary positions), and Paid Holidays Back-up childcare and parenting support resources Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance Commuter benefits Employee discounts and perks program Expected Compensation $40.00 - $56.00 + benefits

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Internship

Posted 3 weeks ago

Internship, Fullstack C++ Engineer, Vehicle User Interface (Summer 2026)Tesla

Location

Palo Alto, California, United States

Description

What to Expect Consider before submitting an application:   This position is expected to start May 2026 and continue through summer term (ending approximately August 2026 or later, if available). We ask for a minimum of 12 weeks, full-time (40 hours/week) and on-site, for most internships. Our internship program is for students who are actively enrolled in an academic program. Recent graduates seeking employment after graduation and not returning to school should apply for full-time positions, not internships. International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per week on-site. Many students will be limited to part-time during the academic year. About the Team Tesla is expanding the Infotainment Applications software team. We’re responsible for building in-car user interfaces, productivity applications (phone, calendar, browser), entertainment (media streaming and video games), autopilot visualization, and our mobile application. This team's work is front and center of Tesla’s vehicle fleet, with millions of customers around the world experiencing and interacting with their software as the primary interface to the vehicle. We are looking forhighly motivated frontend software students to help create, develop, and evolve Tesla’s in-vehicle customer experiences. Come join the Infotainment Team and take our products to the next level. What You’ll Do Build amazing features from the ground up that users look forward to (Holiday Release, Spring Release, etc.) Design, architect, implement and debug game platform interfaces and systems in C++ Rapidly prototype and own fun in-car customer experiences Work with a cross-functional team of Software Engineers, QA, Designers, Hardware Engineers and Game Developers Communicate with game development and publishing partners to to enhance user experience What You’ll Bring Currently pursuing a degree in Computer Science or a related field with a graduation date between 2026 - 2027 Able to relocate and work on site in Palo Alto, CA Strong proficiency in C++ Excellent grasp of fundamental computer science concepts Experience writing and shipping customer-facing code Willingness to learn new technologies in any area of the stack Experience using common design patterns in the software industry Experience working with multithreaded applications Experience building user interfaces and/or consumer facing applications is a plus Compensation and Benefits Benefits As a full-time Tesla Intern, you will be eligible for: Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction Family-building, fertility, adoption and surrogacy benefits Dental (including orthodontic coverage) and vision plans. Both have an option with a $0 payroll contribution Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Medical Plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) 401(k), Employee Stock Purchase Plans, and other financial benefits Company Paid Basic Life, AD&D, and short-term disability insurance Employee Assistance Program Sick and Vacation time (Flex time for salary positions), and Paid Holidays Back-up childcare and parenting support resources Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance Commuter benefits Employee discounts and perks program Expected Compensation $40.00 - $56.00 + benefits

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Full Time

Posted 3 weeks ago

Reinforcement Learning Engineer, Self-DrivingTesla

Location

Palo Alto, California, United States

Description

What to Expect Tesla is looking for strong Machine Learning Engineers to help build foundation models for robotics to drive the future of autonomy across all current and future generations of vehicles. You will work on a lean team without boundaries and have access to one of the world’s largest training clusters. Most importantly, you will see your work repeatedly shipped to and utilized by millions of Tesla’s customers. What You’ll Do Leverage millions of miles of driving data and interventions to build a robust and scalable end-to-end learning based self-driving system Use cutting-edge techniques from generative modeling, imitation learning, and reinforcement learning to improve the planning and reasoning capabilities of our driving models Experiment with data generation and fleet data collection approaches to enhance the diversity and quality of training data Integrate directly with vehicle firmware and ship production quality, safety-critical software to the entirety of Tesla's vehicle fleet What You’ll Bring Strong experience with Python, any major deep learning framework, and software engineering best practices An "under the hood" knowledge of deep learning modern architectures, optimization, model alignment, etc. Proven expertise in deploying production ML models for self-driving, robotics, or natural language processing at scale Comfort with C++ to help integrate with vehicle firmware and take projects from ideas to shipped products Compensation and Benefits Benefits Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire: Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction Family-building, fertility, adoption and surrogacy benefits Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits Company paid Basic Life, AD&D, short-term and long-term disability insurance Employee Assistance Program Sick and Vacation time (Flex time for salary positions), and Paid Holidays Back-up childcare and parenting support resources Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance Weight Loss and Tobacco Cessation Programs Tesla Babies program Commuter benefits Employee discounts and perks program Expected Compensation $140,000 - $420,000/annual salary + cash and stock awards + benefits

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Full Time

Posted 3 weeks ago

AI Engineer, Geometric Vision, Tesla AITesla

Location

Palo Alto, California, United States

Description

What to Expect Join the Tesla AI team to help shape one of the most advanced and widely-deployed AI systems in the world. As a key contributor, you will drive innovation in World Model and Physical AI development, tackling challenges related to 3D perception and Neural Simulation. What You’ll Do Design and develop 3D foundation models and world models leveraging fleet data Design and develop automated data generation pipelines that create various high quality ground truth data for real-world perception problems Deploy and scale your work across millions of autonomous cars and bots worldwide Collaborate closely with a high-caliber team dedicated to realizing full autonomy What You’ll Bring Proven ability to rapidly prototype and optimize algorithms Proficiency in writing production-quality code in Python Proficiency in C++ is desirable Solid understanding of deep learning, linear algebra, geometry, and probabilistic theory, with hands-on implementation experience Expertise in key areas of computer vision and robotics, such as feedforward 3D perception/modeling, neural rendering, autoregressive models, video generation, multi-modal generation Practical experience with PyTorch Familiarity with deploying neural network models is an advantage Compensation and Benefits Benefits Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire: Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction Family-building, fertility, adoption and surrogacy benefits Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits Company paid Basic Life, AD&D, short-term and long-term disability insurance Employee Assistance Program Sick and Vacation time (Flex time for salary positions), and Paid Holidays Back-up childcare and parenting support resources Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance Weight Loss and Tobacco Cessation Programs Tesla Babies program Commuter benefits Employee discounts and perks program Expected Compensation $140,000 - $420,000/annual salary + cash and stock awards + benefits

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Full Time

Posted 3 weeks ago

Software Engineer, Foundation Inference InfrastructureTesla

Location

Palo Alto, California, United States

Description

What to Expect As a member of the Foundation Inference Infrastructure team, you will design & implement a diverse set of backend services and tools that power autonomy software and hardware development processes. The systems you build will have a large impact on autonomy, from accelerating chip design & Machine Learning workflows, compiler development, model validation, and evaluation & validation of the complete software-hardware stack. In this role, you'll bring top-notch software engineering skills and can contribute to our systems immediately. A strong candidate will be an excellent software generalist with passion for building scalable infrastructure and optimizing backend pipelines for ML inference workloads and hardware design automation. What You’ll Do Design and implement backend services and tooling that handles iteration and batch processing of inference, simulation, and evaluation workloads Work closely with the other Autonomy teams to build foundational components as well as bridge missing pieces in ML compiler and runtime infrastructure while designing for scalability, reliability, security and high performance What You’ll Bring Proficiency with Python & PyTorch Familiarity of managing hardware inference chips like TPUs and of optimizing machine learning inference workloads for low latency and scale Familiarity with Operating Systems concepts such as networking, processes, file systems and virtualization Familiarity with concurrency programming Familiarity with C++ and / or Golang Experience with Linux, container orchestrator like Kubernetes or similar and bare metal setup tools like Ansible or similar Experience with data stores like PostgreSQL and Redis Strong problem-solving mindset with the ability to navigate ambiguous requirements and break down complex technical challenges into actionable solutions Self-directed learning approach; comfortable diving into unfamiliar codebases, technologies, and problem domains to quickly become productive

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Full Time

Posted 3 weeks ago

Metrology Systems Engineer, Cell EngineeringTesla

Location

Fremont, California, United States

Description

What to Expect Tesla is seeking a highly motivated Metrology Engineer to develop and implement cutting-edge inline metrology systems for our advanced battery cell manufacturing lines (powder, film, and electrode processing lines). This role will be instrumental in developing, optimizing, and scaling up metrology tools and methods, working within a cross-functional team to take new battery designs from concept to high-volume production. The battery cell is a critical component of Tesla vehicles and energy storage systems. This position offers the opportunity to make significant contributions to our products while working in a fast-paced, innovative environment. The ideal candidate is driven, detail-oriented, and ready to push their limits, as they join in a highly motivated and capable team to make unbelievable things into reality. What You’ll Do Drive the development and deployment of innovative inline manufacturing metrology solutions, transitioning from proof-of-concept (offline/lab equipment) to high-volume production (inline) to enable improved battery processing, performance, quality, and cost Drive metrology installation and commissioning on current and new production lines and interact with suppliers Conduct hands on experimentation and get hands on with pilot process equipment to improve metrology capabilities and gain a deep understanding of underlying processes. Support process optimization through metrology-driven data analysis and structured experiments Define and/or review metrology specifications required for enabling gauge capable metrology tools to support production processes Perform gage capability, tool matching, and measurement uncertainty studies for metrology tools. Work collaboratively across teams (equipment, process, quality, production, safety) to resolve challenges in integrating metrology systems into production Support metrology measurements for engineering DOEs for process optimization and be able to drive the data-driven experiments/studies to be able to establish the relationship between metrology results and cell performance Train technicians on the maintenance and repair of the metrology systems. Be able to review and coordinate field wiring, pneumatic and fluid piping to optimize the integration Perform statistical studies, drive advanced statistics, data analysis, interpretation, visualization and presentation of experimental data proficiently to validate metrology performance and impact on the downstream and cell performance Conduct structured problem analysis and root cause investigations to improve system reliability and performance. Investigate and resolve problems arising during inline metrology integration into production process to ensure seamless interaction between process and metrology Develop documentation to define and standardize metrology processes for engineering, quality, and production teams What You’ll Bring Degree in Materials Science, Physics, Mechanical Engineering, Electrical Engineering, Mechatronics Engineering, Computer Science, Automation Engineering, or equivalent experience Expertise in at least two of the following areas: 1) Metrology system development and fleet management (e.g., semiconductor industry); knowledge of Six Sigma and statistical methodologies (e.g. gauge capability, process capability). 2) At least one material characterization technique (SEM, XRF, ICP, PSA, Microscopy, etc.) with shown ability to troubleshoot at system and module levels to achieve the desired metrology specifications. 3) Optics and optical sensor development working with a broad range of wavelengths from infrared to UV, with simulation experience (e.g. Zemax). 4) Development of X-ray based characterization tools and experimentation/simulation for X-Ray source/detector modification/selection. 5) Image processing, big data, ability to perform advanced data analytics to investigate data quality issues Strong foundation in engineering principles and their application to manufacturing equipment/process development Familiar with GD&T requirements for equipment design. Familiar with SolidWorks and blueprint interpretation Familiar with Six Sigma concepts such as process and gage capability concepts and requirements Proficiency with at least one statistical software package (e.g. JMP, Minitab) Proficiency with data acquisition (query building), analysis, and visualization (experience with MySQL, Flux, …). Programming experience for data processing (Python, Go, etc.). PLC coding experience (Siemens, Beckhoff, Rockwell) is a plus Demonstrate excellent documentation and reporting for installations, commissioning, experimentations, etc. Strong communication skills and ability to simplify complicated concepts for non-technical and cross-functional team members. Proven problem-solving skills using structured problem analysis and data-driven root cause analysis and strong statistical background Experience in high volume manufacturing involving one or more of these areas is highly desired: Battery cell engineering, battery quality control, dry powder metrology, handling and processing, roll-to-roll film processing and metrology including web path design and optimization, battery manufacturing (li-ion or other chemistry), manufacturing engineering

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Full Time

Posted 3 weeks ago

Data LabelerTesla

Location

Draper, Utah, United States

Description

What to Expect We are looking for a driven team member to contribute to the development of our Tesla AI software at Tesla to accelerate the world's transition to sustainable energy. This person labels images & videos that contribute to our deep learning network. In this role you will work with in-house tools to label data coming directly from the fleet of vehicles and Optimus Data Collectors.  No previous experience in AI or data labeling required. The perfect candidate for this role is adaptable, can apply logic to multiple different scenarios, is attentive to detail, has experience with computers and other software, and enjoys a fast-paced work environment. This team provides all onsite training to help you be successful in this role. This is a full-time, on-site position. Schedule: Monday, Tuesday, Wednesday, Thursday, Friday OR Saturday, Sunday, Monday, Tuesday, Wednesday Shift: 9:00AM - 5:30PM What You’ll Do Use in-house tools to label images for the Tesla AI team Interact with team members to help us improve on the design of an efficient labeling interface Gain basic computer vision and machine learning knowledge to better understand how the labels are used by our learning algorithms Make judgement calls on difficult edge cases that might come up during labeling What You’ll Bring Must have working knowledge of the laws and rules of the road Passionate and curious about technology Able to work in a fast-paced environment, learn quickly and be able to prioritize assignments Able to follow directions, detail-oriented, patient, and quality focused Communicate clearly using excellent written and verbal skills Must be reliable, have initiative, and professional while able to work independently and on a team Proficient in Microsoft Office Suite Compensation and Benefits Benefits Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire: Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction Family-building, fertility, adoption and surrogacy benefits Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits Company paid Basic Life, AD&D, short-term and long-term disability insurance Employee Assistance Program Sick and Vacation time (Flex time for salary positions), and Paid Holidays Back-up childcare and parenting support resources Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance Weight Loss and Tobacco Cessation Programs Tesla Babies program Commuter benefits Employee discounts and perks program

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Full Time

Posted 3 weeks ago

Customer Experience SpecialistTesla

Location

Renton, Washington, United States

Description

What to Expect At Tesla, our Customer Experience Specialists are at the heart of everything we do. They deliver exciting, engaging, and educational experiences that leave a lasting impression on both current and future customers. As the first point of contact in our showrooms and the final touchpoint at vehicle delivery, they serve as true brand ambassadors, bringing our mission to accelerate the world’s transition to sustainable energy to life. In this role, you will guide customers through every step of their Tesla journey—from the moment they step into a showroom to the exciting day they take delivery of their vehicle. We’ve created one of the most innovative products on the planet, and your role is to ensure the experience of buying and receiving a Tesla is just as groundbreaking. What You’ll Do Engage walk in guests promptly, personally and with the goal of opening the conversation and ensuring they feel welcome Engage guests in meaningful conversation to understand who they are, what brought them to Tesla, and their intent and timeline for purchase—building a complete and personalized customer profile Inspire and educate guests by answering questions and curating a tailored product experience, including demo drives and Full Self-Driving demonstrations aligned with their interests Conduct engaging delivery orientations, highlighting key features and benefits to ensure new owners feel confident and excited about their vehicle Support sales pipeline health by capturing guest information, scheduling test drives, and identifying high-intent buyers Provide the highest level of customer service to all current and future owners Perform additional tasks as assigned to meet business needs What You’ll Bring 1+ years of customer service and/or sales experience with proven track record to meet and exceed goals Passionate about the Tesla Mission and our innovations in the personal transportation industry. Keep up with EV industry trends and local incentives Ability to understand and convey business issues and technical concepts Strong sense of team mentality and reliability Strong communication skills and attention to detail. Highly organized and excellent written and verbal communication skills. Proficient with Microsoft Office Suite and CRM tools Ability to work evening hours, weekends, and holidays in a retail environment Valid driver’s license required For roles working in CA, CO, HI, ID, MD, MS, NV, NC, PA, TN, UT, VA, DC: This role requires you to possess a Motor Vehicle Salesperson License issued by the State Department of Motor Vehicles. Without the salesperson license, you cannot engage in sales activities. To check if you are eligible for the salesperson license, please contact the DMV in your state of employment For roles working in AZ, GA, HI, IA, IN, NC, NJ, NM, NY, OH, PA, VT, WA: Notary license is preferred. Should notary support be required of this role, Tesla will provide assistance with obtaining a license

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Full Time

Posted 3 weeks ago

Construction SuperintendentTesla

Location

Austin, Texas, United States

Description

What to Expect The Construction Superintendent will work closely with members of the Project Management, Infrastructure Engineering, Project Controls, and Procurement departments from install through start of production. The Construction Superintendent will supervise all on-site construction including scheduling of trade contractors, utility, structure, and vendor tool installations and ensuring compliance with plans and specifications all while tracking project schedule and budget. What You’ll Do Develop execution plans and schedules Coordinate and supervise all on-site construction activities Drive the project schedule and elevate construction issues to management Maintain a safe, secure and healthy work environment by following and enforcing the applicable state and OSHA regulations Schedule and lead quality control and site safety inspections Work with tool vendors as needed to facilitate successful project completion Track and receive material deliveries and resolve delivery discrepancies What You’ll Bring Previous experience as a Superintendent on industrial facility construction, brownfield construction, building renovation, or tenant improvement projects Ability to work within a high-performance, cross-functional organization with extremely tight timelines and aggressive goals Experience with design-build projects Working knowledge of building codes, standards and environmental regulations Understanding of construction design documents and ability to provide constructability feedback prior to and during construction Computer literacy with Microsoft Office Suite products, office email system, scheduling tool knowledge

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Palo Alto, California, United States

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Palo Alto, California, United States

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Palo Alto, California, United States

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Palo Alto, California, United States

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Palo Alto, California, United States

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Palo Alto, California, United States

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