Engineering Geology Notes Jobs in Ca

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.

Our Commitment to Inclusion:

Open date: June 14, 2025

Most recent review date: Tuesday, Jul 29, 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: Tuesday, Aug 25, 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 is generating an applicant pool of qualified lecturers to teach graduate courses on the Berkeley campus for the Master of Molecular Science and Software Engineering (MSSE) Program should an opening arise. We are seeking dynamic lecturers with a commitment to graduate education in computational science, data science, and software engineering to lead multiple courses each year. Disciplines where we are seeking instructors include:

• 
  
• Computational Chemistry
  
• Computational Quantum Chemistry
  
• Scientific Computing
  
• Machine Learning/Deep Learning
  
• Structural Bioinformatics
  
• High Performance Computing
  
• Complex mathematical modeling and simulations
  
• Leadership, management, and entrepreneurship
  

The MSSE Program is a unique program that is designed to formally train scientists, engineers, and computer scientists in computational and data science, and to provide them with the tools, software engineering practices, leadership, management, and entrepreneurial skills needed to create or lead science- or engineering-based enterprises. While the degree focuses on the molecular sciences, its content is suitable for any student pursuing software engineering or data science roles in other science-based industries, or in other areas that require advanced machine learning, complex mathematical modeling and simulations, or high-performance computing.

General Duties:

Classroom teaching and preparation, managing and mentoring graders and/or graduate student instructors (teaching assistants), holding office hours, assigning grades, advising students, preparing course materials (e.g., syllabus), and using Cal's electronic resources for course management.

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

Program:

Contract for the Lecturers Unit (IX) between the University of California and the American Federation of Teachers:

Advanced degree or enrolled in an advanced degree program.

Advanced degree.

• 
  
• A Ph.D., or equivalent international degree, in an area related to computational science, data science, and/or software engineering
  
• Prior teaching and/or work experience in computational science, data science, and/or software engineering
  
• Leadership, management, and entrepreneurial skills in STEM fields
  
• Existing authorization to work in the U.S.
  
• Proficient in C++ and Python programming languages
  

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

  
  

• Cover Letter (Optional)

  
  

• Statement of Teaching

  
  

• 3-5 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
  

Business Area:

Seniority Level:

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.

The Data Platform Pillar is the bedrock of Cloudera's technology, where we design and build the core components that let our customers store, manage, and process data with unmatched scalability, security, and performance.

Cloudera is looking for a strong engineering leader with a distributed systems background to lead a team within the Storage Engineering group, focused on building Apache Ozone and Apache HDFS. The Storage team is responsible for primary storage and storage access layers, which are core to the Cloudera Data Platform.

Apache Ozone is an open source, massively scalable, distributed object store with a distributed file system interface. Ozone is designed to scale to tens of billions of files and blocks, and overcome the limitations of Hadoop Distributed File System (HDFS), namely, millions of small files and managing a huge number of data nodes.

Ozone is one of the fastest-growing products inside CDP in terms of customer adoption and expansion revenue. This is an opportunity to lead a team that created and wrote most of the Ozone code and make a huge impact on the big data storage industry.

**This is an onsite role for our HQ in Santa Clara, CA**

As a Sr. Manager, Engineering you will:

• Manage and lead a team of talented engineers and senior individual contributors based in North America.

• Develop and execute on a technical roadmap and strategy for your team, aligning with the department's vision and the company's business goals.

• Lead and mentor a team of software engineers, including senior and principal-level contributors, fostering a culture of technical excellence and innovation.

• Partner with Engineering leaders, product managers, and partner teams to understand requirements, develop solid designs and implementations, and facilitate integration and adoption.

• Drive and enforce best practices for the software development lifecycle, including coding standards, testing, deployment, system scalability, reliability, and security, tracking key performance indicators for engineering quality and efficiency.

• Communicate team progress, successes, challenges, and strategic plans clearly and transparently to engineering leadership and other business stakeholders.

• Oversee team resources, staffing, mentoring, and enhancing a best-of-class engineering team.

• Work closely with customers in various geographies and partner teams (like PS and support) to ensure successful adoption of Ozone and provide technical guidance for enterprise customers running 100s of petabytes-scale big data analytics and ML/AI pipelines.

• Guide the team in contributing to the Apache open-source community.

We are excited if you have (Required Qualifications):

• Experience: 8+ years of experience in software engineering, with 2+ years in an engineering management role.

• Domain Expertise: Demonstrable experience with the design, implementation, and operation of large-scale distributed systems, particularly in storage, file systems, databases, or cloud infrastructure.

• Technical Depth: Strong understanding of fundamental storage concepts (e.g., consistency, replication, erasure coding, caching).

• Management Skills: Proven track record of leading and managing high-performing engineering teams, demonstrating excellent communication and organizational skills.

• Communication: Excellent written and verbal communication skills. If you can point to publicly available papers, technical articles or blog posts that is a huge plus.

• Education: Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field.

You may also have:

• Prior experience contributing to or leading large-scale open-source projects.

• Familiarity with the Apache Hadoop big data ecosystem (HDFS, YARN, Hive, Impala, Spark) or related distributed data frameworks.

• Experience with specific commercial or open-source distributed storage technologies (e.g., Ceph, Gluster, ZFS, S3-compatible systems).

• Experience managing remote or hybrid engineers.

Why this role matters:

You will tackle complex distributed systems challenges, crafting the foundational software for the control and data planes that powers CDP and keeps it running at massive scale. Working at the forefront of hybrid and multi-cloud technology, you will empower data scientists, engineers, and analysts with the tools and infrastructure they need for advanced analytics and modeling.

Collaboration is key, you will work alongside brilliant minds across product, data science, and engineering to drive innovation, standardize best practices, and shape the future of enterprise AI and data platforms. This is your chance to build the future of data and see your work make a global impact.

This role is not eligible for immigrationsponsorship.

The expected base salary range for this role in

• California is $203,000 - $254,000

The salary will vary depending on your job-related skills, experience and location

What you can expect from us:

• Generous PTO Policy

• Support work life balance with Unplugged Days

• Flexible WFH Policy

• Mental & Physical Wellness programs

• Phone and Internet Reimbursement program

• Access to Continued Career Development

• Comprehensive Benefits and Competitive Packages

• Paid Volunteer Time

• Employee Resource Groups

EEO/VEVRAA

#LI-SZ1

#LI-REMOTE

Engineering Supervisor

Location: Torrance, CA

Overview

This role supports a high-precision aerospace manufacturing organization known for craftsmanship, quality, and continuous improvement. The Engineering Supervisor works cross-functionally with Manufacturing Engineering, NC Programming, Quality, and Operations to improve processes, integrate new programs, and ensure consistent, compliant production. This leader plays a critical role in mentoring engineers, supporting new product introductions, and resolving manufacturing challenges that impact quality, delivery, and profitability.

The ideal candidate is a hands-on technical leader who thrives in a fast-paced manufacturing environment, values process discipline, and brings a problem-solving mindset to complex production challenges.

Position Responsibilities

• Serve as a key manufacturing engineering representative for new statements of work, new product integration, and process transitions.
• Ensure adherence to internal engineering and manufacturing standards; develop and implement new standards where needed.
• Collaborate with NC Programming, Operations, and Manufacturing Engineering on tooling and fixture design.
• Lead and support first-article and first-piece reviews alongside Quality, Engineering, Operations, and NC Programming.
• Mentor, train, and support the development of Manufacturing Engineers and Planners.
• Interface with customers as needed to resolve engineering or producibility issues.
• Investigate and resolve manufacturing issues related to scrap, rework, or low profitability.
• Support estimating and quoting efforts by reviewing designs for manufacturability and risk.
• Provide shop-floor engineering support during first-article builds and process validation.
• Plan, direct, and coordinate technical activities while monitoring performance against budgets, schedules, and organizational goals.
• Play a strong leadership role in New Product Introduction (NPI) initiatives.
• Perform additional duties as assigned.

Core Functional Areas

Process Standardization

• Develop and maintain work instructions, procedures, and manufacturing standards.
• Recommend and implement process improvements to enhance cost, quality, and delivery.
• Maintain configuration control across customer part revisions and specifications.
• Manage Engineering Work Orders (EWO) and Engineering Change Orders (ECO), including:
• New part integration
• Tooling changes
• Part number and revision control
• Value engineering initiatives

Continuous Improvement

• Identify improvement opportunities and drive corrective actions.
• Analyze manufacturing data to evaluate performance and resolve problems.
• Apply Lean Manufacturing tools and principles where applicable.

Project Management

• Develop and manage project schedules using MS Project or similar tools.
• Track progress, communicate expectations, and manage activities to budget and schedule.

Leadership & Communication

• Provide regular updates to leadership on project status and engineering initiatives.
• Deliver clear, organized, and effective presentations when required.
• Communicate complex or sensitive information professionally and tactfully.
• Foster collaboration across engineering, operations, and support functions.
• Motivate teams, manage conflict, and promote effective cross-functional communication.

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

L3Harris is the Trusted Disruptor in defense tech. With customers’ mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

Job Title: Sr. Specialist, Systems Engineering

Job Code: 32594

Job Location:   Yorba Linda, CA

Job Schedule: 4/10 or open to 9/80

Job Description : The Senior Specialist, Systems Engineer is an intermediate professional with practical knowledge of job area. Works without supervision to set objectives for own job area. Communicates with contacts inside and outside own team to explain and interpret operational processes, practices, and procedures. Identifies and addresses changes within own job area. Works to achieve operational targets with some impact on departmental results. Work consists of making basic adjustments to systems and processes to solve problems. Identifies, defines, and addresses general problems that are typically within the immediate job area. Problems are typically solved through drawing from prior experiences or standard procedures and basic analysis.

Essential Functions:

• Support digital engineering and Model-Based Systems Engineering (MBSE)
• Conducting trade studies
• Generation of requirements specifications
• Generation of functional block diagrams, use-case diagrams, etc.
• Integration and test planning, including generation of plans and procedures.
• Interfacing with the other engineering disciplines (e.g. mechanical, project, etc.) to ensure proper coordination of the systems aspects of the project.
• Generate and/or update drawings, parts lists, Engineering Orders, wiring lists, diagrams, and schematics.
• Generation of Engineering Change Orders
• Creation and presentation of design review materials
• Verification of system interfaces
• Must have the ability to travel.
• Work to influence others to accept individual or team’s views or practices and changes to concepts, practices, and approaches.

Qualifications:

• Bachelor’s Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience.
• Must have the ability to obtain and maintain a Security Clearance
• 5+ years of direct Engineering experience

Preferred Additional Skills:

• Direct experience working with at least one of the following technologies: Underwater Acoustics, Telemetry, Communications, Data Recording systems, and/or Radar.
• Excellent written and oral communication skills.
• Demonstrated initiative, drive, and interpersonal skills.
• Familiarity with DOORS requirements management software
• Familiarity with Model-Based Systems Engineering (MBSE)
• Proficiency with MS Word, Excel, and PowerPoint

In compliance with pay transparency requirements, the salary range for this role in California, 
Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $106,500 -
$197,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New 
York state, Cleveland Ohio, and Vermont is $90,500 - $168,500. This is not a guarantee of 
compensation or salary, as final offer amount may vary based on factors including but not limited to 
experience and geographic location. L3Harris also offers a variety of benefits, including health and 
disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, 
paid time off, and company-paid holidays. The specific programs and options available to an employee 
may vary depending on date of hire, schedule type, and the applicability of collective bargaining 
agreements.

#LI-EB1

L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.

Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.

By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.

L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish . For information regarding your Right To Work, please click here for English or Spanish .

About the Company

Our values start with our people, join a team that values you! Bring your talents to Ross, our leading off-price retail chain with over 2,200 stores, and a strong track record of success and growth. Our focus has always been bringing our customers a constant stream of high-quality brands and on-trend merchandise at extraordinary savings. All while providing a fun and exciting treasure hunt experience. Our Corporate headquarters are in Dublin, CA, we have 3 buying offices in key markets in New York City, Los Angeles, and Boston, and 8 distribution centers nationwide. With 2023 revenues of $20.4 billion, we are a Fortune 500 company who is committed to providing an inclusive work environment with continuous learning opportunities and development for our teams.

About the Role

The Strategic Sourcing Manager will lead strategic Industrial Construction and Facilities Engineering sourcing projects for new and existing sites across Ross' supply chain network. Their primary goals will be to help Ross mitigate risks, procure materials, equipment and services at the best value and be a strategic advisor to internal stakeholders.

Responsibilities

• Drive Strategic Sourcing and Sourcing Process Execution
• Develop and implement sourcing strategies for Industrial Construction categories (e.g., steel structures, concrete, MEP systems, site services, etc.) and Facilities Maintenance categories (e.g., conveyor systems, fork trucks, racking, etc.). Analyze historical data to determine the highest risk and cost categories.
• Partner with Property Development, Engineering, Project Management, Legal, Risk Management and Finance teams to understand project needs. Manage expectations and set achievable milestones to arrive at the agreed upon goal.
• Develop and manage sourcing project timelines and lead socialization meetings. Update stakeholders regularly on project progress, risks and mitigation strategies.
• Identify, evaluate, and onboard qualified suppliers and contractors. Build and maintain strong supplier relationships to ensure performance and compliance. Develop and monitor supplier KPIs, coordinate regular QBRs and Top to Top meetings.
• Support the budgeting process and develop bottoms-up (quantity based) estimates.
• Develop RFPs and vendor response comparison tools (quantitative and qualitative). Work with Property Development, Engineering, Loss Prevention, IT and Legal stakeholders to understand requirements to be included in the RFP packages.
• Manage competitive events or sourcing process end to end with minimal supervision. This would include market research, RFP development, internal and external communication management, stakeholder alignment, etc.
• Conduct detailed market and vendor research to communicate findings through research summaries. Evaluate vendor core competencies and competitive positioning using open-source data and industry benchmarks.
• Proactively identify alternate sourcing opportunities across multiple Construction and Facilities Engineering material, equipment, parts and service categories. Analyze market trends and cost drivers to inform sourcing decisions.
• Drive cost savings initiatives through value engineering, competitive bidding, and strategic negotiations.
• Create presentations to communicate findings and vendor recommendations to stakeholders, to help with decision making.
• Serve as an escalation channel for internal stakeholders, to improve vendor service levels. Maximize Ross' position of leverage in any negotiation scenario.
• Support the Facilities Engineering team with sourcing requirements for Material Handling Equipment (MHE) repair, refurbishment and replacement.

Qualifications

• BA/BS in Supply Chain, Construction Management, Business, Economics, Finance or Engineering (MBA or advanced degree preferred).
• Minimum of 5 years category management / strategic sourcing experience in Industrial Construction and Facilities Engineering. Multiple Construction and Engineering sourcing category experience preferred.
• Minimum of 5 years of program or project management experience in a cross functional environment (technical and non-technical teams).
• Strong knowledge of corporate finance - budgeting, cash flow, P/L statements, balance sheets.
• Strong experience with construction cost estimating and budgeting as well as working with raw material / market indices and determining fair purchase prices.
• Proficient in reading and interpreting construction drawings and specifications.
• Experience with Construction Management Software such as Procore, as well as Sourcing / Contract Management Software such as Coupa.
• Familiarity with LEED, OSHA, and other regulatory frameworks.
• Certifications preferred - CCPS, CCM, CPSM.
• Consulting experience strongly preferred; experience in retail is a plus.
• Proficiency with contract writing and management strongly preferred.
• Knowledge of DC Operations (e.g. Receiving, Sorting, VAS, Pick/Pack, Shipping).
• Strong Excel (Pivots, VLookups, Data Tables) and PowerPoint skills.
• Experience in working with raw material / market indices and determining fair purchase prices.
• Must have a data driven approach to solving problems.
• Must be inquisitive to learn the business and "ways of working" before recommending improvements.
• Requires very strong quantitative skills and experience structuring ambiguous problems.
• Must have very close attention to detail and the drive to achieve accurate results with minimal supervision. Must evaluate all vendor material and contracts with a critical eye to identify risks to Ross.
• Must be able to multi-task, prioritize, work independently and keep a high level of focus.
• Must be able to listen, understand, and communicate with employees at all levels of the company. Requires strong written and verbal business communication skills.
• Needs to be able to build effective working relationships within Ross and drive continuous improvement.

Required Skills

• Strong project management, communication and prioritization skills.
• Deep industry knowledge and strong negotiation skills.
• Ability to operate at both the tactical and strategic levels of the organization.

Preferred Skills

• Experience in retail.
• Consulting experience.

Pay range and compensation package

The base salary range for this role is $108,800 - $165,950. The base salary range is dependent on factors including, but not limited to, experience, skills, qualifications, relevant education, certifications, seniority, and location. The range listed is just one component of the total compensation package for employees. Other rewards vary by position and location.

Equal Opportunity Statement

This job description is a summary of the primary duties and responsibilities of the job and position.

Fractal is a strategic AI partner to Fortune 500 companies, with a bold vision: to power every human decision in the enterprise. We believe the future belongs to organizations that combine human imagination with intelligent systems—and Fractalites are the ones building that future. As we scale our Technology, Media & Telecom (TMT) practice in the United States, we are looking for a senior, client-facing Head of Engineering to shape and deliver world-class Data & AI platforms for leading Technology, Media & Telecom organizations.

This is not a back-office engineering role. This is a consulting-led, client-facing engineering leadership position for someone who is equally comfortable whiteboarding architecture with principal engineers, rolling up their sleeves with delivery teams, and advising CIOs, CTOs, and CDOs in the boardroom.

Learn more at Fractal | Intelligence for Imagination.

Note: This position is not eligible for Immigration Sponsorship at this time.

About the Role

This is a four-axis leadership role requiring technical depth, executive presence, team leadership, and embedded delivery. You'll work directly with top technical and functional leaders at some of the largest TMT companies in the world.

As Head of Engineering for Fractal's Technology, Media & Telecom (TMT) vertical, you will personally shape the architecture of mission-critical AIML platforms, often in first-party tech stack, and develop/drive the team of ICs who bring them to life.

Responsibilities

Some engagements will look like a traditional advisory model. Others will look a lot more like Forward Deployed Engineering: your team embedded inside a client's engineering org, working within their first-party tech stack, shipping production code alongside their engineers, and earning influence through technical credibility, not org chart position.

You will need to be in the room when the technology roadmap needs to change. When a business pivot, a new regulation, or a technology shift forces a rethink mid-execution, you are the person who picks up the marker, walks to the whiteboard, and redraws the architecture in real time, credibly, for the CTO, and Principal Engineering leaders simultaneously.

Technical Depth (Hands-On Architecture)

• Own AI/Data platform architecture decisions — from Lakehouse design and real-time streaming to MLOps, LLMOps, and AgentOps pipelines in production
• Serve as the technical authority for Fractal's TMT engineering practice — defining standards, reviewing design, and holding the bar on reliability, scalability, and security
• Translate ambiguous business problems into concrete, buildable platform architectures — and stay close enough to execution to know when something is not working
• Drive the industrialization of GenAI: moving clients from proof-of-concept to enterprise-grade, governed, and observable AI systems

Executive Presence & Live Architectural Thinking

• Command the room with senior client leadership — CIOs, CTOs, CDOs, and their direct reports - as a peer, not a vendor
• Whiteboard new architectural directions on the spot: when a business pivot, acquisition, regulatory shift, or technology breakthrough forces a mid-execution rethink, you synthesize it into a credible, buildable path forward live, in the room, without needing a week to prepare a deck
• Translate between two worlds simultaneously: make the architecture legible to a CFO and rigorous enough to satisfy a principal engineer in the same session
• Shape client roadmaps at the strategic level; identifying where the current plan is under-ambitious, over-engineered, or misaligned with emerging AI capabilities, and steering accordingly
• Represent Fractal at the highest level of client relationship

Team Leadership (Building & Driving Senior ICs)

• Develop and lead a high-performing group of individual contributors. principally senior and staff engineers, ML engineers, and data platform engineers
• Create the engineering culture: rigorous delivery standards, architectural thinking, and a bias toward elegant, production-grade solutions over quick fixes
• Build leadership depth within the team, identifying principals who can own programs and grow into broader roles
• Partner across Fractal's global AI and engineering Capability functions to staff programs strategically and raise capability across the TMT practice

Forward-Deployed & Embedded Delivery

• Lead and run FDE-style engagements where your team operates inside the client's engineering environment
• Navigate and deliver within client-owned, first-party technology stacks: proprietary data platforms, internal ML infrastructure, custom orchestration systems, and bespoke toolchains that do not appear in any industry survey
• Adapt quickly to non-standard environments, understanding a client's internal platform deeply enough to extend it, integrate into it, and earn the trust of their engineering staff
• Balance the tension between what Fractal does best and what the client's stack demands, knowing when to bring pattern, when to adapt, and when to advocate for a better path
• Set the standards for how Fractal operates in deeply embedded engagements: how we onboard, document, transfer knowledge, and leave clients stronger than we found them

Candidate Profile

Technical Qualifications

TMT clients bring genuinely hard problems on both open and proprietary infrastructure. Expect to architect and oversee:

• GenAI systems: RAG architectures, LLM fine-tuning pipelines, agentic workflow orchestration, and LLMOps observability
• AI-powered products: personalization engines, churn prediction, content recommendation, and network fault detection
• Client-proprietary ML infrastructure: internal feature stores, custom model serving layers, bespoke experiment tracking systems, and first-party orchestration frameworks
• Cloud-native infrastructure across AWS, Azure, and GCP with enterprise-grade governance, security, and compliance baked in
• Real-time and event driven data pipelines (e.g. network telemetry)
• Modern Lakehouse platforms (Databricks, Snowflake, Delta Lake, Iceberg) at petabyte scale and proprietary data platform equivalents at leading tech-forward TMT organizations

Non-technical Qualifications

We are particularly interested in leaders from environments where engineering rigor, client accountability, executive presence, and AI depth all coexist including Forward Deployed Engineering, elite data/ML platform teams, and senior hyperscaler architecture practices.

• 15–20 years of experience spanning AI/data engineering and technical leadership with clear evidence of owning architecture at scale
• Deep hands-on experience deploying AI/ML/GenAI systems in production, in addition to advising on them
• Demonstrated executive presence: you have walked into a CTO or CDO review, redrawn the architecture based on new constraints, and left the room with alignment
• The ability to whiteboard fluently under pressure, synthesizing a team's in-flight work with a new business direction, making it rigorous enough for engineers and clear enough for executives, on the spot and without a rehearsal
• Experience operating within client-owned or non-standard technology stacks - you have learned a proprietary system, earned trust from skeptical internal engineers, and delivered production-grade results inside someone else's infrastructure
• A track record of leading senior engineers and building high-performance ML/engineering teams, including hiring, coaching, and developing principal-level ICs
• Direct executive engagement experience - you have influenced CIO/CTO/CDO decisions and can hold your own in a room with technical and non-technical stakeholders at once
• Strong cloud-native fluency across one or more hyperscalers, with genuine depth in data platform patterns (streaming, batch, Lakehouse, governance)

Strong Preferences

• Experience in TMT vertical — hi-tech, telco, media platforms, streaming infrastructure, ad tech, or content delivery at scale
• Prior work in FDE-style or embedded delivery models where your team shipped inside a client codebase and was evaluated by their engineering standards, not just deliverable milestones
• Comfort with the ambiguity of 1P stack environments: you have debugged undocumented internal tools, extended proprietary frameworks, and figured out how to make external expertise land inside a closed ecosystem
• A personal reputation for architectural clarity: the person colleagues call when a problem needs to be drawn, not just describe
• Contributions to the ML/AI community: open source, publications, conference talks, or influential architectural patterns

Who Thrives Here

The Fractalite mindset is curious, rigorous, and impact driven. You will thrive in this role if you:

• Enjoy being client-facing and accountable for outcomes.
• Are comfortable navigating ambiguity, scale, and complex stakeholder environments.
• Believe great platforms come from strong engineering culture plus disciplined execution.
• See AI not as a novelty, but as a core enterprise capability that must be engineered responsibly.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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• Bachelor's or Master of Science Degree in Electrical Engineering
  
• At least 4 years of Electrical Engineering Experience
  
• Proficiency working with AutoCAD
  
• Proficiency with the Microsoft business suite, including Word and Excel
  
• Proficiency working with SKM PTW PowerTools or similar electrical analysis software
  
• Experience within an operational environment
  

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• Engineer in Training (EIT) or ability to obtain
  
• Working knowledge of Revit or BIM software
  
• Experience with database creation and maintenance such as MS Access
  
• Strong communication skills both verbal and written
  
• Strong analytical and problem-solving skills
  
• Forward thinking, eager to learn best practices, and contribute with innovative ideas
  
• Displayed ability to learn quickly and driven to broaden knowledge base
  
• Ability to collaborate and work effectively in a variety of teams, including multi-disciplinary teams
  
• Passionate about buildings and construction
  

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• This is an on-site position requiring work to be performed on the client site in vicinity of San Jose, CA
  
• Candidate must be willing to commute to the site Monday-Friday during normal core business hours - of 9:00 am to 4:00 pm with flexibility based on need of client interactions
  
• Relocation assistance may be provided for qualified candidate.
  

Title: Engineering technician/ Equipment technician

Work Location: Fremont, CA 94538

Duration: 12 Months

Job Type: Temporary Assignment

Work Type: Onsite

Shift: Grave shift 10:30pm-6:30am

Pay rate: $3 /hr.

Overview:

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide.

Job Description:

We are seeking a person capable of running an Intevac 200L sputter machine in a proficient manner to fulfill the requests for the Media Development Engineering organization. Tasks and duties will include processing experiments precisely as documented or requested by the Engineering staff. Requirements are to work in class 10 /100 cleanroom environment, follow all procedures and protocols, follow instructions well, provide feedback to coworkers/leads in a constructive/positive manner, provide technical support and suggestions to Engineering, run sputter machines efficiently and effectively, collect sputter related data on metrology tools, maintain excellent documentation, work collaboratively in a team environment to help exceed goals. These items listed below CAN be trained.

Pilot Line Operations includes - processing of the media through various media processes and equipment which includes but is not limited to the following:

• Processing of experiments for the Engineering team - processing discs through the various tools, measurement of the media, data entry, and feedback to engineering and management of the results.
• Work inside of a cleanroom - 100% PPE suits from head to toe with masks and safety glasses are required.
• Job requires a good amount of movement (walking - 50% depending on the job) to retrieve parts from point A to point B in many cases.
• Reaching is required in many cases to load and unload products onto racks, machines, etc., typically ranging from 24 inches to 53 inches not exceeding 10lbs.
• Many cases cart is provided for the transport of product, but hand carrying of product/material is required majority of the time as well.
• Computer skills are required in all the areas since the machines and the processes require computer and software interface. Interaction with Engineering is required via email, phone and excellent understanding and communication skills are required. Comprehension of correct recipes, file savings, instructions are followed precisely. Detailed use of excel is a must and understanding of Windows.
• Job requires stepping onto step stools to reach platforms for the processing of parts, as well as bending/kneeling in tight spaces for access to back of tools for process checks.
• Manual dexterity is needed in some areas to perform tape changes, adjustments based upon data received from Engineering or checklists. MDW process requires detailed manual dexterity with ESD sensitive parts and miniature assembly.
• Many of the jobs require cross training to be able to utilize the employees efficiently for planning purposes and downtime in areas.
• Saturday workday is required and part of their schedule in many cases and overtime is required.
• Must be able to focus, excellent attendance, comprehension, enthusiastic in performing their jobs, communicate detailed information well, pay attention to details, and have a good attitude and work ethics, and a true team player in getting tasks at hand completed in a timely manner.

Required qualifications:

• No previous experience required – on the job training will be provided
• Proficient computer skills (Microsoft Office – email, basic Excel, Word, and PowerPoint)
• Excellent communication skills
• Professional, reliable, responsible, dependable, etc

TekWissen® Group is an equal opportunity employer supporting workforce diversity.

Open date: June 10, 2025

Most recent review date: Sunday, Feb 15, 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: Monday, Feb 1, 2027 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 Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley invites applications for a pool of qualified temporary instructors to teach Electrical Engineering or Computer Science courses should an opening arise. These are not tenure-track positions - selected candidates will hold the title of Lecturer. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester, depending on the needs of the department. Due to budget restrictions, no funding is available for visa or relocation expenses.

In addition to lecturing responsibilities, general duties for these positions include holding office hours, assigning grades, advising students, preparing course materials (e.g. syllabus), and maintaining a course website.

The department seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy in higher education through their teaching. UC Berkeley has an excellent benefits package as well as a number of policies and programs to support employees as they balance work and family, if applicable.

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:

Department:

Division:

School:

The minimum qualification required to be considered an applicant for the position is a Bachelor's degree (or equivalent international degree). Must be met by the time of application.

The following additional qualifications are required by the start date of the job. Advanced degree or four years teaching and/or industry experience.

Experience in teaching courses in Electrical Engineering or Computer Science, particularly courses with 200+ students. Experience managing large course staff.

Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

• Cover Letter (Optional)

  
  

• Curriculum Vitae - Your current and updated C.V.

  
  

• Statement of Teaching - Please discuss prior teaching experience, qualifications (including teaching evaluations, if available), 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.

  
  
  

  The teaching statement must include information on the course(s) the applicant is qualified to teach (after reviewing our list of courses: academics/courses).

  
  
  

  Courses of particular interest in the Computer Science division include CS 10, CS 61A, CS 61B, CS 70, CS 88, CS C8, CS C100, CS 160, CS 169, CS 170, CS W186, CS 188, CS 189, CS 194-100*, CS 195, CS 370, and CS 375. *Note: Candidates qualified to teach CS 194-100 possess teaching experience and a background covering the intersection of social justice and technology.

  
  
  

  Courses of particular interest in the Electrical Engineering division include EE 16A , EE 16B, EE 192, and EE 247B.

  
  

• 3 required (contact information only)

References will only be contacted at the finalist stage. We will seek candidate permission before contacting references.

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