Sr. Infrastructure Program Manager Data Center jobs at Tesla in United States, Austin

• Implement the technical definition for global Tesla 4680 Cell Manufacturing in the Austin, TX Gigafactory
• Be a critical technical interface between design, manufacturing engineering, supplier quality, and the factory
• Work with factory teams to drive/implement solutions on the manufacturing floor to include supporting/reviewing deviations, allowance criteria, and engineering trials
• Work with quality systems teams to ensure adoption of best practices across the 4680 network
• Conduct detailed risk assessments at the product and manufacturing level to identify opportunity and drive mitigation of risks and improve yield
• Interface with reliability engineering teams to implement findings from the field, lifetime testing, as well as abuse engineering
• Take a lead role in problem solving efforts when necessary

• Degree in a technical discipline or equivalent experience, with a commensurately advanced level of competency in science/engineering fundamentals
• Proven extensive expertise/experience with lithium-ion cells. This is likely to include at least 5 years but more likely 10+ years of experience dedicated in the field. Due to the breadth of this field, that could include any number of the following areas from an engineering and/or manufacturing perspective: Design (mechanical, chemical); Electrode; Cell Assembly (any format); Formation and Aging; Cell Test (qualification, reliability, abuse, etc.); and Failure Analysis
• Excellent verbal, written, and presentation communication skills and strong interpersonal skills with demonstrated ability to communicate effectively across levels and functions
• Detail oriented, with the ability to effectively handle multiple priorities while meeting tight deadlines under pressure
• Additionally desired but not required experience: hands-on experience building cells; data analytical skills using multiple platforms and languages; experienced background in statistics; working understanding of Quality Systems fundamentals

• Investigate security alerts, perform in-depth analysis, and respond to cybersecurity events in real-time
• Implement containment to limit the impact of security threats while ensuring business continuity
  
• Identify, analyze, & respond to web-based threats, including SQL injection, credential stuffing, server-side request forgery, cross-site scripting, and other vulnerabilities
  
• Collaborate with cross-functional teams to manage and resolve security incidents swiftly & effectively
  
• Design and optimize new & existing automations
  
• Enhance response & detection capabilities, improve high-fidelity signals, eliminate noise, and reduce manual investigation efforts
  
• Analyze adversarial tactics and recommend detection & protection strategies
  
• Lead postmortem reviews, conduct root cause analyses, and drive remediation efforts
  

• Proficiency in one or more of the following areas: Detection Engineering, Incident Response, Security Operations, DFIR, Security DevOps, SecOps, Threat Hunting, Site Reliability Engineering
  
• Experience leading multiple stakeholders such as engineering/operations teams, internal business units, and external incident response teams throughout the incident lifecycle
• Experience with detection & response technologies (SIEM, EDR, CNAPP, NDR, NDIS/NIPS, SIGMA, YARA), security automation SOAR tools, IT automation, and/or custom automation methods
• Experience performing large-scale log analysis across diverse & uncommon log sources; familliarity with Splunk, Elastic, or similar tools is a plus
• Experience working with/in Linux containers & orchestration systems (Kubernetes) and cloud environments (AWS)
• Familiarity with security event correlation, data visualization, graphing, timelines, trending, behavioral analytics and/or anomaly detection is a plus
  
• Familiarity with endpoint tools & investigations, network traffic analysis, and/or phishing & social engineering countermeasures is a plus
  
• Critical thinking, problem-solving & investigative mindset; ability to operate at scale and adapt to change in complex and diverse environments
  

• Develop and optimize robust applications through proficient use of our most common languages: Java, Go, C++, C#, TypeScript, Next.js, Bash
• Act as a strong individual contributor, work in new or existing projects independently
• Write and review design docs - new services/features, refactors, technology choices, process changes, etc.
• Participate in code reviews, offer constructive feedback to improve code quality and maintainability
• Participate in an on-call rotation, manage incidents as Incident Commander, write actionable incident reports
• Manage tasks via Jira for observability and human capacity planning, maintaining excellent Jira hygiene
• Participate in hiring, conduct technical screens and provide feedback to hiring manager in panels
• Work cross-functionally, collaborate with other teams to understand and address their needs
• Provide mentorship to junior engineers in the application and understanding of best practices, fosters their professional growth

• Strong knowledge of at least one programming language related to our stack: Java, Go, C++, C#, jQuery, Node.js, Bash
• Strong knowledge of distributed systems architecture and event streaming platforms
• Strong understanding of REST and/or gRPC based APIs and microservice architecture
• Strong understanding with one or more database technologies
• Familiarity with code reviews in the context of a team and providing constructive feedback to others
• Familiarity with diagnosing problems and incidents in multi-layered enterprise application
• Familiarity with containerization and deployment configuration with Docker and Kubernetes is preferred
• Familiarity with CAD tools like Catia/3DX and Solidworks is preferred

• Assign responsibilities to manage testing
• Provide coaching and training to technicians on lab safety and operations
• Escalate quality issues to management and quality engineering team
• Lead 5S and efficiency improvement initiatives in the lab
• Communicate with Quality engineers and Tesla Prototyping lab for test methods development and handover
• Provide regular reports & updates to quality team and management
• Coordinate with production, site maintenance, equipment, and chemical vendors for smooth lab operations

• Bachelor's Degree in Chemistry, Chemical Engineering or in a relevant scientific field or equivalent experience
• 4 - 5 years’ experience in a Manufacturing Quality Control environment with ability to wear PPE including PAPR
• 3+ years of leadership experience with a team of 10 or more employees.
• Knowledgeable in quality related specifications and MS office
• Knowledge of ISO 9001, ISO 17025 or IATF 16949 a plus
• Preferred to have knowledge on LIMS, six-sigma, RCA, TQM, or equivalent

• Generate process flow, failure mode effects analysis, and inspection methodology for new products
• Manage production line qualification procedures and documentation
• Collaborate with design, supplier industrial engineering, quality, and operations
• Provide design-for-manufacturing feedback to shape next-generation high volume products
• Optimize product flow and line efficiency while reducing capex and lead-time

• 5 or more years of relevant experience
• Experience improving production processes using data analysis software (e.g., Minitab, JMP)
• Experience generating process and product quality documentation
• Strong hands-on experience with high-volume and pilot manufacturing
• Proven track record of data driven methodology to solve complex problems
• Bachelor’s Degree in Mechanical or Mechatronics Engineering, or equivalent experience

Architecture and Design:

• This intern will support the team with the execution of the design development process from test fit, concept design, management of survey and due diligence with external consultants. They will also support coordination of all technical and business needs required from stakeholders and transform them into a concept drawing based on site-specific conditions. Additionally, interns on this team will support prototype team with prototype updates and block development as needed, as well as support review construction documents and shop drawings.

Structural Engineer:

• As an intern on this team, you will support the design and construction of a variety of new and renovations to existing industrial, manufacturing, and office facilities in our high-tech facilities across the U.S. You will also work with multidiscipline project teams including Mechanical, Electrical, piping/Plumbing (MEP) Civil and Architectural professionals. You will conduct structural analysis and design of concrete and steel structures, along with the creation of justifying structural calculations. This intern will make technical assumptions, think independently to complete assigned work, and draw conclusions based on engineering judgement. Additionally, you will complete field work independently or with the design team and support preparation of design drawings, plans, sections, details, and schedules in Revit.

• Currently pursuing a degree in Architecture, Civil Engineering, Structural Engineering, or related field

• Previous internship and project experience is a plus but not required

• Ability to work independently

• Ability to effectively communicate verbally, in writing, and through drawings/sketches

• For Architecture interns: Working knowledge of US building codes

• For Architecture interns: Proficient in Revit, & familiar with AutoCAD. Additional software competencies are a plus

• For Structural interns: Fundamentals of Engineer (FE) Test taken/passed

• For Structural interns Experience with Revit, Revit Structural, RISA 3D, RAM or ETABs

• For Structural interns: Primary structural coursework completed prior to start of internship

We are looking for a Sr. Industrial Engineer / Data Engineer (5+ yrs. of experience) that will be focusing on providing automations and data solutions to Industrial and Manufacturing Engineering teams. This position involves designing and creating Data Models, developing Analytics and Reporting solutions. They will be focusing on developing superior and strong internal resources to completely own the data inputs to our future simulation and analytical models.

• Analyze and maintain yield, availability, and cycle time data to identify trends, inefficiencies, and opportunities for optimization
• Develop Model inputs and build Software as necessary to make this available to larger Tesla Team
• Collaborate with various Tesla teams to Build automated data pipelines to collect, process, and analyze real-time yield, availability, and cycle time data from various sources (IoT sensors, MES, PLCs, SCADA systems)
• Use statistical process control (SPC), regression analysis, and time-series forecasting to enhance manufacturing efficiency
• Create interactive dashboards and visualizations in Power BI, Tableau, or Python-based tools for easy monitoring of performance trends
• Own and manage projects from design to production, maintain relationship with stakeholders and collaborate with both business and technical teams to satisfy business needs
• Identify slow-running processes and bottlenecks, troubleshoot problems, research and resolve issues
• Reverse engineer existing projects or products in use and always look for improvements in processes preferably with open-source technologies

• Degree in Data Science, Industrial Engineering, or equivalent experience
• 5+ years of experience in data analysis and modeling within manufacturing environments
• Strong proficiency in Python, SQL, R for data analysis, visualization, and modeling
• Experience with time-series analysis, statistical process control (SPC), and predictive analytics
• Good first principles understanding of Industrial Engineering, OEE concepts
• Excellent problem-solving skills with the ability to work in a fast-paced manufacturing environment
• Excellent communication & collaboration skills with ability to drive data related initiatives with various internal and external stakeholders
• Deep understanding and experience in Discrete Event Simulation modeling, coupled with expertise in predictive modeling using ML algorithms and digital twin technology for process simulation and improvement