Engineering Journal Chula Jobs in Ca

Open date: June 14, 2025

Most recent review date: Saturday, Jun 28, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Thursday, Oct 1, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The College of Chemistry at the University of California, Berkeley invites applications for a pool of temporary instructors to assist in teaching graduate courses online for the Master of Molecular Science and Software Engineering (MSSE) Program, should an opening arise. Candidates will support the primary instructors assigned to the courses.

Disciplines where we are seeking lecturers in lieu of GSIs include:

• 
  
• Computational Chemistry
  
• Scientific Computing
  
• Bioinformatics
  
• Machine Learning/Deep Learning
  
• High Performance Computing
  
• Complex mathematical modeling and simulations
  
• Computational Quantum Chemistry
  
• Leadership, management, and entrepreneurship in a computational science company or organization
  

General Duties

Duties include assisting or leading lectures, leading or assisting in labs or discussions, and other activities customarily related to instructional assignments (i.e., grading assignments, submitting/maintaining student records, responding to student questions, tutoring students, holding regular office hours, course material preparation, attending relevant meetings, orientations, etc.).

The MSSE Program seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

Program:

Union contract: resources/employment-policies-contracts/bargaining-units/non-senate-instructional/contract/

A bachelor's degree, or equivalent international degree, or enrolled in a bachelor's degree, or equivalent international degree, program.

A bachelor's degree, or equivalent international degree, and authorization to work in the U.S.

• 
  
• A master's degree, or equivalent international degree, in an area related to computational science, computational chemistry, bioinformatics, data science, high performance computing, mathematical modeling and simulations, or software engineering
  
• Proficiency in C++ and Python programming languages
  

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter (Optional)

  
  

• Statement of Teaching (Optional)

  
  

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley 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, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

About Pinterest:

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

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

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

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

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

What you'll do:

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

What we're looking for:

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

In-Office Requirement Statement:

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

Relocation Statement:

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

#LI-HYBRID

#LI-AH2

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

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

Our Commitment to Inclusion:

About Pinterest:

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

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

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

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

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

What you'll do:

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

What we're looking for:

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

Relocation Statement:

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

#LI-SA1

#LI-REMOTE

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

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

Our Commitment to Inclusion:

About Pinterest:

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

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

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

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

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

What you'll do:

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

What we're looking for:

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

Relocation Statement:

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

#LI-SA1

#LI-REMOTE

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

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

Our Commitment to Inclusion:

Open date: June 10, 2025

Most recent review date: Wednesday, Jun 25, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Thursday, Oct 1, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Fung Fellowship at the University of California, Berkeley invites applications for a pool of part-time lecturer positions in Design and Technology Innovation should an opening arise. We seek candidates that have experience to teach a 3-unit fall and/or spring course for undergraduates who have been selected for the Fung Fellowship for Technology Innovations, a one-year program that develops leadership, teaming, storytelling, technology innovation, and human centered design. This lecturer pool has been generated in case of need for teaching for two courses: (1) Health + Tech Innovations course and (2) Conservation + Tech Innovations course. The number of positions may vary from semester to semester, depending upon the teaching needs of the School.

Candidates with a background in one or more of the following areas are encouraged to apply: Public Health, Conservation, Sustainability, Innovation, Design, Other health-technology, Human centered design, Student directed learning, Participatory design, Inclusive teaming and leadership, Experiential learning methods.

Teaching Responsibilities: We are seeking outstanding lecturers who can teach a design, project based course for the Fung Fellowship for Technology Innovations at the undergraduate level. The Fung Fellowship brings together students from diverse backgrounds and majors to develop technology solutions to address societal challenges facing our most marginalized populations.

General Duties: Curriculum development and teaching that involves an experiential approach to participatory learning that includes community engagement and innovative problem-solving. In addition to teaching responsibilities, general duties include: hold office hours, assign grades, advise students, support community and industry partnerships and other opportunities for students, prepare course materials (e.g., syllabus) and maintain the course website with support from the graduate student instructor (GSI).

Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the department is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.

Labor Contract:

Bachelors degree or equivalent international degree required by date of application.

Masters degree or equivalent international degree required by the start date of the job, or industry experience of 5 or more years.

Experience teaching undergraduate-level innovation and design topics. An advanced degree, or equivalent degree, or 6 years work experience in the areas of Public Health, Conservation, Design, Innovation, or other health-technology related fields.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

  
  

• Teaching Evaluations - Evidence of teaching/course evaluations may be requested of the finalists.
  
  (Optional)

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley 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, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

This is Hemanth from Synstack, please share your updated resume for below role

SRE Manager

San Francisco CA(onsite)

Contract

Job Description:

Year Of Experience: 10-15 Years.

Support coverage: PST Business Hours

Note: Retail/Ecommerce Domain is required

Working knowledge in Retail domain is mandatory.

Mandatory to have working experience as SRE manager especially in Retail domain application support ( NOT CLOUD /DevOps)

Must have working knowledge on SRE principles such as Logs, metrics, availability metrics, uptime, ticket tracking, e-com services, ITIL framework specifically on Alerts, Incident, change management, CAB, Production deployments, Risk and mitigation plan, SLA, SLI, SLO

Hands on experience in Monitoring, Logging, Alerting, Dashboarding, and report generation in any observability tools Prefer DataDog or other tools such as Splunk/Dynatrace/ELK/Grafana). This engagement is a customer using Dynatrace,Splunk, PagerDuty hence it is good to have this expertise

Mandatory to have work experience in leading Level 2/Level 3 application support team based out of IND who provide 24x7 coverage.

Should know how to gather & communicate SRE requirement from customers and define SRE roadmap.

Working experience on how to gather requirements on health of applications, services to monitor, setting service levels.

Must have good knowledge on eCommerce platforms in microservice architecture, Sterling OMS , Retail Applications like XStore.

Should be able to lead P1 calls, brief about the P1 to customer, proactive in gathering leads/ customers into the P1 calls till RCA, PIR etc.

Should have knowledge on building process , framework by following ITSM principles, SOP, runbooks, handling any ITSM platforms (JIRA/ServiceNow/BMC Remedy)

Must know how to work with the Dev team, cross functional teams.

Should be able to generate WSR/MSR by extracting the tickets from ITSM platforms, present to customers and L7 leaders.

Manage overall SRE delivery, customer focus mindset , closely work with customer leaderships.

Open date: December 3, 2025

Most recent review date: Saturday, Feb 28, 2026 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Friday, Jul 31, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The College Writing Programs at the University of California, Berkeley, invites applications for a pool of qualified temporary instructors to teach summer courses in the College Writing Programs should openings arise. The number of positions varies from summer to summer, depending on the department's needs. All positions are handled on a by-agreement basis.

Programs include:

English Language and Culture: Our English for Academic and Specific Purposes courses are aimed at high-beginning through advanced-level students who want to enhance their English language skills, improve job performance, or undertake university work. Courses are offered both online and in person and are grounded in theme-based and project-based learning.

Creative Writing: Courses include short fiction and drama, nonfiction, poetry, and performance and reading. Most courses are 3-week workshops, although a few are in a longer 6-week format. They are offered both online and in person. A record of publication in creative writing is preferred for creative writing teaching candidates.

Public Speaking: We offer introductory, advanced, and online public speaking courses for lower-division students. All are in a 6-week format.

Reading and Writing in the Disciplines: Courses focusing on education; writing in the biological sciences, law, and business; and other disciplines are offered both online and in person.

Reading & Composition (Berkeley students): We offer online sections of required courses for Berkeley undergraduates, who receive priority enrollment. Instructors must be experienced in teaching composition. Course lengths vary from 8 to 10 weeks.

Job duties:

Successful applicants will teach one or more summer courses. Applicants will be responsible for all classes, including crafting syllabi, teaching in a classroom environment, and grading student work. Instructors will also be required to attend faculty meetings.

Successful applicants will be interested not only in teaching but also in being part of a faculty team. Participation in faculty development workshops and ongoing self-evaluation are important to our program.

UC lecturers are academic appointees and are represented by an exclusive bargaining agent, University Council - American Federation of Teachers (UC-AFT). This position is covered by the collective bargaining agreement of the UC-AFT.

Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in APRecruit to learn whether the department is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.

The department seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy. UC Berkeley is committed to supporting employees as they balance work and family.

Applicants are considered for positions as needs arise; the existence of this pool does not guarantee that a position is available.

Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.

Program: courses/summer

• 
  
• Completion of or enrollment in an advanced degree program
  

• 
  
• Completion of advanced degree
  

All candidates

• 
  
• Three (3) years experience teaching university-level students in your area of expertise
  
• An understanding of the ethics and use of GenAI in university settings
  
• Evidence of ongoing professional development
  
• Evidence of clear communication skills as presented in application materials
  

English Language and Culture

• 
  
• A Masters' degree or higher, or equivalent international degree, in one of the following fields: TESL, TEFL, TEAL, applied linguistics, language teaching/education, - ESP discipline (i.e., business, law, science/technology)
  
• Experience working with adult ESL/EFL students in university-level courses
  
• Experience with content-, theme-, and project-based language teaching
  
• Experience living/working outside of the U.S. in a non-English speaking country
  
• Basic proficiency in a language other than English
  

Creative Writing

• 
  
• MFA, MA, or PhD in Creative Writing, English, Journalism, or Comparative Literature
  
• A publication record in fiction, non-fiction, poetry, or feature journalism
  Public Speaking
  
• An MA, MFA, JD, or PhD in English, Education, Journalism, Law, Rhetoric, or Composition
  

Reading and Writing in the Disciplines

• 
  
• An MA, PhD, MS, JD, MEd, in English, Composition Studies, or specific discipline (biology, law,, engineering, journalism, rhetoric, etc)
  
• Experience in the written discourse of the discipline, as demonstrated through publication or teaching experience
  

Reading & Composition

• 
  
• An MA, MFA, or PhD. In Composition Studies, English, Comparative Literature, Rhetoric, or Education
  
• Knowledge and understanding of current approaches to teaching reading and writing
  

• Curriculum Vitae - Your most recently updated C.V.; no photographs; do NOT indicate age or marital status

  
  

• Cover Letter

  
  

• Up to 12 pages of sample teaching materials - A variety is encouraged to highlight teaching style: classroom materials, sample assignments, an instructor-designed syllabus, etc.

  
  

• 2 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley 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, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Join Yorke Engineering, LLC, an Environmental Consulting leader in California that implements Environmental Engineering and Compliance solutions for our clients throughout California. Our mission is to solve environmental compliance problems for industrial and governmental/infrastructure facilities. We are a growing and dynamic organization of highly respected professionals. Yorke Engineering, LLC has assisted over 2,200 client organizations with their Air Quality and Environmental Compliance, Engineering, and Permitting needs. Our philosophy is to efficiently help government and industrial customers with the complex array of environmental laws and regulations. From simple permits to complex agency negotiations, from small companies to the largest of California’s organizations, Yorke successfully solves our clients’ Air Quality and Environmental challenges. Our team has over 1,000 years of combined environmental experience and consists of engineers and scientists that specialize in Air Quality, Waste, Water, CEQA, Safety, and Industrial Hygiene.

We are looking for a sharp Principal Air Quality Engineer/Scientist (Environmental Permitting and Compliance) to join our team in Northern CA. This is a full-time position at 40 hours per week in the bay area. We currently have offices in Berkeley and San Francisco but may open a new office based on candidate location. We offer competitive salaries, a full benefits package including Paid Time Off, Holidays, Full Medical/Dental/Vision, along with a 401k program with a generous company match.

Position Summary:

The Principal Air Quality Engineer/Scientist (Environmental Permitting and Compliance) performs professional engineering work, leading and executing the compliance and permitting functions in relation to Air Quality Regulations and Compliance. This candidate will be reviewing processes and equipment, analyzing permit-related technical and regulatory issues, and communicating those analyses within Yorke, the client organization, with government agencies and with the public at large. The work is challenging, broad in scope, and variable from project to project. The position involves effective communication, decision-making, and time management. The candidate performs other duties as required or assigned.

This is a Principal level position. Positions at this level are assigned to perform the more complex and sensitive duties within air quality consulting. The employee in this position will be assigned to develop business, write proposals, train and mentor other employees, and/or monitor work produced by other employees.

The candidate’s experience and qualifications we are seeking include:

• 15-25+ years of work experience in the Air Quality and/or Environmental industry in an engineering role (preferably in a consulting environment);
• Experience in the environmental services industry focusing on leading Air Quality services:
• Process and equipment review;
• Air quality permitting under BAAQMD;
• Annual Emissions Reporting;
• Air Dispersion Modeling;
• Air Quality Assessments including Data Analysis and Emission Inventories;
• General Air Quality Compliance for facilities in CA.
• Ability to manage and lead active team members on project teams towards project completion within project scope, budget and schedule and ensure quality work product and deliverables;
• Ability to manage successful relationships with clients, staff, and regulators through effective communication and expertise by fostering a collaborative environment without losing focus of quality;
• Proven track record or desire to engage in successful regulatory work in dealing with the SCAQMD, BAAQMD, SJVAPCD, EPA, CARB and/or other similar regulatory agencies;
• Experience working on-site at client facilities;
• Prepare reports and submissions in timely manner;
• Experience with handling highly technical data and technical data interpretation;
• Highly motivated to continue working in Air Quality environmental field and expand their knowledge and experience;
• CA Regulatory/Compliance experience is required.

Job Requirements:

• B.S or M.S. degree in Chemical Engineering, Environmental Engineering, or Mechanical Engineering, or other relevant technical degrees from an accredited college;
• Ability to work collaboratively in a team fashion, handle several projects at once, prioritize work, and work efficiently;
• Desire to train and share technical expertise in environmental rules and regulations with clients and team members;
• Excellent oral and written communications skills;
• Experience in conflict resolution and crisis management;
• Track record of successful analysis, interpretation, and application of rules and regulations towards practical solutions;
• Ability to think critically and develop solutions;
• Software Knowledge:
• Strong Microsoft Excel, Word, Outlook, and PowerPoint skills (required);
• Microsoft 365 Applications, including SharePoint (a plus)
• P.E. Certification (a plus).

Job Title: Senior Technical Writer – Automotive DV/PV Validation

Location: Palo Alto, CA

Tata Technologies is seeking a highly experienced Senior Technical Writer / Lead with a strong engineering background to support the development of Validation Test Reports, Test Plans, and related technical documentation. The Senior Technical Writer with extensive experience shall drive the creation, standardization, and governance of hardware (EE, Mechanical, EMC, Environmental) test specifications, validation procedures, and test reports for Automotive Design Verification (DV) and Production Validation (PV) programs. Recognized for elevating documentation quality, improving validation workflows, and enabling engineering teams to meet safety, reliability, and compliance requirements across complex automotive platforms.

Executive Summary

Seasoned Senior Technical Writer with deep expertise in creating, governing, and optimizing documentation for Design Verification (DV) and Production Validation (PV) activities across complex automotive programs. Known for elevating documentation quality, improving validation processes, and enabling cross functional engineering teams to meet safety, reliability, and compliance targets. Combines strong technical fluency with leadership, process ownership, and an ability to convert complex requirements into clear, actionable validation deliverables.

Key Strengths & Expertise

• Leads documentation strategy for DV/PV validation, ensuring alignment with engineering requirements, quality systems, and OEM validation frameworks.
• Authors and owns end to end documentation, including DV/PV test plan & validation reports.
• Interprets system, hardware requirements to ensure test plan is complete, measurable, and traceable.
• Synthesize raw engineering data from tools such as Jira, Hex, and internal RVT systems to produce structured, comprehensive reports.
• Collaborate closely with senior validation engineers, systems teams, quality, and program management to create validation plan and test report.
• Ensures all documentation complies with automotive standards such as ISO 26262, ASPICE, IATF 16949, APQP, and OEM specific DV/PV requirements.
• Leads documentation reviews, providing guidance on clarity, structure, compliance, and technical accuracy.
• Improves and standardizes templates and documentation processes, increasing consistency across engineering teams and enhancing audit readiness.
• Experienced with tools such as DOORS, Polarion, JAMA, Confluence, Jira and enterprise PLM/document control systems.
• Ensures audit ready document control, including version management, change history, and controlled release according to program milestones.
• Mentors junior writers and validation engineers on documentation best practices, process adherence.
• Strong communicator with the ability to influence stakeholders and drive alignment among diverse engineering teams.

Core Competencies

• DV/PV Test Specifications & Reports
• Requirements Interpretation & Traceability
• Automotive Standards (ISO 26262, ASPICE, APQP, IATF 16949)
• Documentation Strategy & Governance
• Cross Functional Engineering Collaboration
• Validation Process Optimization
• Template Creation & Documentation Standardization
• Technical Review Leadership
• Version Control & Audit Ready Documentation
• Tools: DOORS, Polarion, JAMA, Jira, Confluence

Key Contributions

• Leads the development and release of DV/PV test specifications, procedures, and final test reports for major automotive OEM/Tier 1 programs.
• Partners with systems, hardware, software, quality, and test engineering teams to define test coverage, clarify requirements, and ensure engineering alignment.
• Translates complex technical inputs into clear, structured, and compliant validation documents used across global test teams.
• Drives standardization of documentation templates and workflows, reducing ambiguity and improving audit readiness.
• Mentors junior engineers and writers on documentation quality, structure, and compliance best practices.
• Ensures all validation documentation meets OEM expectations, regulatory requirements, and safety critical standards.

Key Must Have's:

• Bachelor's degree in Engineering (Electrical, Mechanical, Systems, or related field) or equivalent technical experience.
• 7+ years of experience as a Technical Writer or Documentation Lead in Automotive OEMs or Tier-1 suppliers.

Equal Opportunity Statement:

Tata Technologies Inc. is an Equal Opportunity/ Affirmative Action employer. We provide equal employment opportunities to all qualified employees and applicants for employment without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. We prohibit discrimination in decisions concerning recruitment, hiring, compensation, benefits, training, termination, promotions, or any other conditions of employment or career development.

Tata Technologies: Engineering a better world.

Tata Technologies would like to thank all applicants for their interest; each application will be reviewed against the set criteria for the role. We would like to advise that only candidates under consideration will be contacted. If you do not hear from us within 10 working days following the closing date it will mean that unfortunately your application has not been successful. We will, however, retain your details for any suitable future opportunities.