Scale Microgrids Eqt Jobs in Usa

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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.

At Cloudera, our Data Services Pillar is the heart of data innovation. We don't just work with technology; we build it. Our mission is to empower data practitioners by creating seamless, enterprise-grade experiences for data engineering, warehousing, streaming, operational databases, and AI.

You will be a key member of the NFQE (Non Functional QE) team that drives the performance reliability of Cloudera's Kuberneteshosted data services. The role blends deep technical knowledge of performance testing, distributed data workloads, and container orchestration with a datadriven mindset. You'll design, automate, run, and analyze performance tests for Cloudera's flagship services, ensuring they meet or exceed customerdefined SLOs/SLAs at scales.

As a Performance Engineer, you will:

• Work with internal development teams and the open source community to proactively drive performance improvements/optimizations across our data warehouse and Data Engineering stack.

• Work with product managers, developers and the field team to understand performance and scale requirements, and develop benchmarks based on these requirements.

• Develop automation to execute benchmarks, collect and aggregate metrics and profiles, and report results, trends, and regressions.

• Analyze performance and scalability characteristics to identify bottlenecks in large-scale distributed systems.

• Perform root cause analysis of performance issues identified by internal testing and from customers and suggest corrective actions.

• Evaluate performance of systems and provide related guidance to the team.

We are excited about you if you have:

• 3 + years of industry experience in performance-related work, ideally on large-scale distributed systems

• Understanding of DBMS algorithms and data structure fundamentals.

• Understanding of hardware trends and full-stack systems performance: CPU, RAM, storage, network, Linux kernel, JVM, and distributed systems performance.

• Understanding of performance analysis tools and techniques.

• Strong design, coding skills, and test automation skills (Java/C++/Golang/Python preferred)

• Knowledge of relevant frameworks, cloud provider knowledge, K8s, etc.

• Ability to work in a distributed setting with team members spread in multiple geographies

• Demonstrated ability to work on large cross-functional projects, including strong written communication skills and a collaborative mindset, as you will be working with many teams inside and outside of Cloudera.

• Experience with benchmark and performance test design. You eshould understand basic concepts of performance testing including different types of performance tests (microbenchmarks, end-to-end benchmarks, concurrency and scale testing), how to reduce (or deal with) noise in test results, etc.

• Experience designing performance tests that provide useful insights into specific aspects of performance.

• Solid understanding of basic performance theory - in particular a very good understanding of latency, throughput, and concurrency and how they relate to each other.

• Strong understanding of the types of workloads they'll be testing Ideally they should have specific experience creating performance tests for the specific product area they'll be working on (SQL, ML, etc).

• B.S. or M.S. in Computer Science or equivalent experience.

You might also have:

• Experience with the Hadoop ecosystem (i.e. Hive, Impala, Spark), in specific Prior work on largescale data lakehouse or datawarehouse performance

• Hands-on experience with containerization, Kubernetes, public cloud infrastructure (AWS, Azure and/or GCP) and mesh-networks

• Certifications: CKA/CKAD, AWS Solutions Architect, GCP Cloud Architect, Azure Solutions Architect, or equivalent.

• Security & Compliance: Experience writing performance tests that also verify dataprivacy and audit compliance (e.g., GDPR, HIPAA).

Why this role matters:

This is your opportunity to build cloud-native solutions that are deployable anywhere whether in massive clusters on any cloud provider or in private data centers. You'll work with cutting-edge technologies like Trino, Spark, Airflow, and advanced AI inferencing systems to shape the future of analytics. Your code will directly influence how data engineers, analysts, and developers worldwide find value in their data.

We believe in the power of open source. You'll collaborate with project committers, contributing upstream to keep technologies like Apache Hive and Impala evolving. You'll harden these engines for rock-solid security, optimize them for peak performance, and make them effortlessly run across all environments. Join us and help build the trusted, cloud-native platform that powers insights for the most data-intensive companies on the planet.

This position is not eligible for sponsorship.

The expected base salary range for this role in:

• California is $124,000 - $155,000

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

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About Pinterest:

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

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

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

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

Pinterest helps Pinners discover and do what they love. Homefeed is literally the first surface Pinners see when they open the app and so it forms the front-and-center of the Pinterest experience for 400M+ pinners every month. The Homefeed Relevance team's mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Tech Lead Architect who can drive cross-team engineering efforts for shipping ML-driven product experiences to our pinners. You'll have the opportunity to work on various innovative projects of new product experiences, build large-scale low-latency systems and state-of-the-art machine learning models, and deliver great impact to our pinners and business metrics.

What you'll do:

• 
  
• Improve relevance and the user experience on Homefeed
  
• Work on state-of-the-art large-scale applied machine learning projects
  
• Improve the efficiency and reliability of large-scale data processing and ML inference pipeline
  
• Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost
  

What we're looking for:

• 
  
• Languages: Python, Java
  
• Machine Learning: PyTorch, Tensorflow
  
• Big data processing: Spark, Hive, MapReduce
  
• 7+ years experience with Recommender system or User modeling, implementing production ML systems at scale
  
• 7+ years experience with large scale distributed backend service
  
• Experience in working in Deep learning and Generative AI models
  
• Experience in closely collaborating with product managers / designers to ship ML-driven user-facing product
  
• Bachelors in computer science or equivalent experience
  

Relocation Statement:

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

In-Office Requirement Statement:

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

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#LI-DM57

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

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

Our Commitment to Inclusion:

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

• 
  
• You will join a team of seven scientists responsible for producing pilot-scale biological products that support biologics programs, trouble shooting and improving processes. The team implements new technologies to enhance operational capability, capacity, and efficiency across the site.
  

• 
  
• Technical & Operational
  
• Plan and execute downstream purification and scale-up activities including filtration, chromatography, and buffer preparation.
  
• Support upstream operations as needed to ensure seamless end-to-end process execution.
  
• Monitor, analyze, and interpret process and performance data; prepare clear summaries of findings as appropriate.
  
• Maintain laboratory readiness, including equipment maintenance, analytical instrument upkeep, consumable inventory management, and general lab support.
  
• Communication & Collaboration
  
• Present data, results, and conclusions in group meetings and cross functional discussions.
  
• Communicate technical information clearly and effectively to colleagues at varying levels.
  
• Work with a team-oriented, collaborative, and solutions-focused mindset.
  
• Maintain a strong safety focus in all laboratories and pilot operations.
  

• 
  
• Hands-on experience with downstream purification operations, including centrifugation, chromatography, TFF, and depth filtration.
  
• Proficiency with AKTA systems and UNICORN programming.
  
• Practical experience in chromatography column operations, including resin packing and unpacking at various scales (e.g. 4.4 to 30 cm internal diameter columns).
  
• Strong verbal communication, technical writing, and documentation skills.
  
• Ability to work effectively in cross functional teams and in a dynamic environment.
  
• Self-motivated, organized, and comfortable with scientific problem solving.---
  

• 
  
• Experience in pilot plant operations for biologics in a single-use facility.
  
• Familiarity with Process Development and/or current Good Manufacturing Practices (cGMP), technology transfer, plant operations, and bioprocess scaleup principles.
  

• 
  
• AA/AS degree with 2+ years of relevant industry experience (purification techniques), or
  
• BS/BE in Chemical/Biochemical Engineering, Biochemistry, Biology, or related discipline with 1+ year of relevant experience.
  

• 
  
• Initial Zoom screening, followed by 1:1 interview with the hiring manager and 1-2 team members.
  

• 
  
• Onsite
  

Open date: February 24, 2026

Most recent review date: Tuesday, Mar 10, 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, Mar 27, 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 Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for two Project Scientist at the Assistant, Associate, or full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The project scientist will make significant and creative contributions in the area of molecular and cellular microscopy research.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

The purpose of this project is to develop a foundation AI model capable of extracting biological insights from 4D (x,y,z,time) datasets of subcellular dynamics within physiological contexts and across scales. Incumbent will advance imaging to generate petabytes of targeted and high quality datasets necessary to prototype and build this model. The Assistant/Associate/Full Project Scientists will help develop and execute the research program focused around ABC's overarching goal of moving cell biology away from the coverslip and into physiological systems. These positions will work within a dedicated team to develop and refine the microscopy techniques. This position will manage projects and provide regular progress reports to PIs and collaborators.

The incumbent will spend 90% of their time on ABC research goals and managing and maintaining equipment in the lab and 10% of their time training/supervising collaborators, graduate students and postdoctoral fellows on MOSAIC/iAOLLSM capabilities.

Key responsibilities:

*Make significant and creative contributions to designing, building, and testing of a new high throughput adaptive optical inverted lattice light-sheet microscope (iAO-LLSM). This instrument aims to achieve a 10-fold increase in data acquisition throughput while maintaining the high-quality optical performance demonstrated in our previous work.

*Use, maintain, and oversee the operations of the two next-generation multimodal optical scopes with adaptive imaging correction (MOSAIC) microscopes at the ABC.

*Actively participate in handling/mounting biological samples on advanced microscopes and collect 4/5D datasets.

*Collaborate with a cross-disciplinary team of AI scientists, data engineers, instrumentation scientists and biologists and generate high resolution microscopy data using novel transparent developing organism reagents necessary to reach the goal of prototyping and training a 4D foundation model.

*Actively participate in national and international collaborations, presentation of research findings at scientific conferences, and publication of results in leading peer-reviewed journals.

*The incumbent will actively participate in and occasionally lead efforts to develop new projects.

These positions are eligible for full benefits.

Lab:

Contract: resources/employment-policies-contracts/bargaining-units/academic-researchers/contract/

*PhD (or equivalent international degree)

*Minimum of four years of postdoctoral research experience

*For consideration for the Associate Project Scientist rank: a minimum of 8 years of post PhD research experience

*For consideration for the full Project Scientist rank: a minimum of 14 years of post PhD research experience

*PhD or equivalent international degree in Physics, Chemical or Biological Engineering, Molecular and Cell Biology, Systems Biology, Biochemistry, or Related Field.

*Experience or expertise in light microscopy, spectroscopy, or laser optics.

*Experience or experience with adaptive optics and lattice light sheet microscopy.

*Experience or experience designing and building custom microscopes.

*Ability to troubleshoot microscopy instruments, prepare samples, design research methodology.

*Proficient with CAD programs for instrument design (e.g. Autodesk Inventor or Solidworks).

*Ability to explain concepts to a variety of audiences; and oversee a laboratory space or unit.

*A strong preference for a record of imaging, characterization and analysis of live cells and biological tissues.

*Experience with data and image processing, evaluating image quality, visualizing and analyzing image data.

*Experience making figures and movies with microscopy data for publishing articles.

*Experience collaborating with labs in a wide variety of areas.

*Experience executing large imaging projects (tens of terabytes to multi petabyte-scale)

*Experience leading technicians

*Ability to review research proposals and ideas, evaluate research capabilities, and make recommendations.

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers.

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks.

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

  
  

• Cover Letter

  
  

• Statement of Research - Provide a summary of your major research accomplishments in approximately 250 words. Additionally, please include a brief statement highlighting your experience that is directly relevant to the key responsibilities of this position.

  
  

• 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
  

Open date: February 2, 2026

Most recent review date: Monday, Feb 23, 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 Institute for Business and Social Impact at UC Berkeley seeks to hire a postdoctoral scholar who applies pioneering, rigorous empirical analysis to policy-relevant questions in applied economics, development, mental health, labor, or closely related fields.

We are especially interested in candidates whose work combines empirical causal inference, administrative or large-scale data, and topics related to development, labor markets, mental health (broadly defined, e.g., measurement, interventions, behavioral mechanisms, digital or light-touch mental health tools), or behavioral economics. We welcome applicants with strong foundations in empirical methods in economics and/or experience designing, implementing, or overseeing large-scale randomized controlled trials.

The ideal postdoctoral scholar will have demonstrated excellence in using modern empirical methods-including econometrics, experimental and quasi-experimental techniques, and/or machine learning approaches for prediction and causal inference-to study policy-relevant questions in development, labor, mental health, or related fields. We seek a postdoctoral scholar who bridges applied microeconomics with behavioral and mental-health insights, using empirical and machine-learning tools to study social and economic policy.

Duties of Position:

The position offers direct engagement in new and exciting research opportunities and personal mentorship from faculty and researchers on the team. The postdoctoral scholar will gain an expanded network of collaborators and become a member of the UC Berkeley research community by actively participating in seminar series and internal workshops to present and receive feedback on their work.

The postdoctoral scholar will be expected to join and develop a research agenda in collaboration with their supervisor and Faculty Director, Paul Gertler, along with Laura Chioda, IBSI's Chief Data Scientist, and IBSI's network of researchers.

Ph.D. (or equivalent international degree), or enrolled in a Ph.D. or equivalent international degree program at the time of application.

* Ph.D. (or equivalent international degree) by the start date.

* No more than three years of post-degree research experience.

Ph.D. holders in economics and related fields specializing in applied microeconomics, development, mental health, or behavioral economics are invited to apply.

We particularly encourage applications from postdoctoral scholars whose work integrates theory-driven mechanisms with rigorous empirical analysis, including field experiments (RCTs) or the use of large-scale administrative datasets. Experience developing research projects in collaboration with non-academic stakeholders-such as NGOs, governments, or industry partners-is highly valued.

Preferred Technical & Professional Skills

* Advanced Programming: Proficiency in R, Stata, and/or Python.

* Computational Expertise: Familiarity with machine-learning methods for prediction and causal inference, including experience with unstructured data.

* Quantitative Foundation: Strong skills in econometrics and statistics, backed by advanced doctoral coursework.

* Data Management: Excellent organizational capabilities and experience managing complex datasets.

* Communication & Collaboration: Fluency in English with the ability to communicate research findings clearly and work effectively within a multi-disciplinary team.

Professionalism: High degree of self-motivation, flexibility, and the ability to manage multiple workstreams efficiently.

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

  
  

• Cover Letter

  
  

• Writing Sample - Job Market Paper or one PhD dissertation chapter- or article length writing sample.

  
  

• Research Agenda - A 1-page summary of your research agenda non-technical language, suitable for a broad audience outside of your discipline

  
  

• 3-5 required (contact information only)

References should be from individuals who are familiar with the applicant's written work and qualifications for the position.

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
  

Senior Program Manager – Data Center Infrastructure

About the Role

We are seeking a highly experienced and strategic Senior Program Manager to lead and oversee complex infrastructure and energy projects at a national scale. This hybrid role is based in Pennsylvania and involves guiding multiple project teams, driving cross-functional collaboration, and delivering mission-critical programs with a focus on innovative energy and data center infrastructure.

As a senior leader in our program management office, you will set strategic direction, ensure operational excellence, and mentor Program Managers and Administrators. This position demands a visionary leader passionate about infrastructure innovation, sustainability, and building the future of digital and energy infrastructure.

Key Responsibilities

Strategic Leadership & Program Oversight

• Lead the planning, execution, and delivery of large-scale infrastructure programs across multiple states and diverse energy projects.
• Develop and manage integrated program roadmaps, master schedules, and delivery frameworks that synchronize engineering, procurement, and construction (EPC) workstreams.
• Define program governance frameworks, processes, and best practices to ensure consistency and high performance across projects.
• Develop and monitor comprehensive budgets with detailed CAPEX/OPEX allocations, incorporating contingency reserves and scenario planning.
• Drive program-level risk management, proactively identifying challenges and implementing mitigation strategies.
• Oversee resource planning and allocation to optimize capacity and maximize outcomes across teams.
• Develop and maintain executive-level reporting, dashboards, and communication channels to inform stakeholders and senior leadership.

Team Development & Mentorship

• Provide leadership, mentorship, and professional development to Program Managers and Program Administrators.
• Foster a high-performing, collaborative culture aligned with organizational values and strategic goals.
• Promote continuous improvement and innovation in program management methodologies and tools.
• Contribute to strategic planning sessions with executive team members.
• Stakeholder & Partner Engagement
• Build and sustain strong relationships with clients, regulatory bodies, vendors, and internal teams.
• Lead negotiations, escalate issues as needed, and facilitate resolution to maintain program momentum and stakeholder satisfaction.
• Represent the organization at industry forums, regulatory meetings, and external partnerships.

Quality & Risk Management

• Own risk management framework across large-scale programs, leading early identification, assessment, mitigation planning, and contingency development.
• Facilitate risk identification workshops and maintain comprehensive risk registers to support proactive issue resolution and informed decision-making.
• Lead compliance initiatives across environmental, safety, and regulatory domains at local, state, and federal levels, ensuring continuous alignment with evolving legal and industry standards.
• Champion enterprise-wide quality assurance by establishing program-specific standards, control mechanisms, and testing procedures—particularly for complex data center and infrastructure environments.
• Ensure all program deliverables meet or exceed established performance metrics, regulatory requirements, and stakeholder expectations, maintaining audit-readiness and accountability throughout execution.

Financial & Operational Excellence

• Manage program budgets, forecasts, and financial performance to ensure alignment with organizational objectives.
• Oversee contract management, procurement processes, and vendor performance for key projects.
• Ensure compliance with regulatory requirements, quality standards, and safety protocols across all programs.

Innovation & Strategic Growth

• Champion integration of emerging technologies, renewable energy solutions, and AI infrastructure within program delivery.
• Identify opportunities for growth, process optimization, and operational efficiency at the program and portfolio levels.

Qualifications & Requirements

Education & Experience

• Bachelor's or Master's degree in Engineering, Construction Management, Energy Management, or related technical field.
• 10+ years of progressive experience in program management, with 5+ years in leadership roles managing large-scale infrastructure or energy programs.
• Proven track record of successfully delivering complex, multi-million-dollar projects with cross-functional teams.
• Project Management Professional (PMP), Program Management Professional (PgMP), or equivalent certification preferred.

Technical & Domain Expertise

• Deep expertise in data center infrastructure, energy systems (electricity, natural gas, liquid fuels, RNG), and critical infrastructure development.
• Experience with High-performance computing environments or next-gen data platforms at scale is preferred.
• Strong knowledge of project management frameworks, enterprise scheduling tools (e.g., Primavera, MS Project), and financial management.
• Experience with regulatory compliance, permitting, and risk management in energy or infrastructure sectors.
• Familiarity with AI infrastructure and cutting-edge digital technologies is a strong plus.
• Proven ability to coordinate across OEMs, EPCs, utilities, and regulatory agencies to ensure integrated delivery and compliance.
• Proficient in building management systems (BMS) and data center infrastructure management (DCIM) platforms to support operational visibility and efficiency.
• Committed to sustainability and energy efficiency, with experience implementing best practices to reduce environmental impact and optimize lifecycle performance.

Professional Skills & Competencies

• Exceptional strategic thinking, decision-making, and leadership capabilities.
• Excellent communication, negotiation, and stakeholder management skills.
• Ability to lead through influence and foster collaboration in matrixed and diverse teams.
• Strong analytical skills with a focus on data-driven decision-making and performance metrics.
• Resilient and adaptable to fast-paced, evolving project environments.

Working Environment & Travel Requirements

• Hybrid work model based in Reading, PA, with flexibility for remote work.
• Travel approximately 25% to project sites, client offices, and industry events across the U.S.
• Work in dynamic infrastructure environments, including construction sites and utilities.
• Standard business hours, with occasional extended hours during key project phases.

Career Development

• Leadership opportunities to shape program strategy and organizational growth.
• Hands-on with cutting-edge infrastructure and AI technologies.
• Access to advanced professional development, certifications, and industry conferences.
• Mentorship from senior executives and cross-functional exposure to technology and operations.
• Potential path to executive roles based on performance and impact.\
• Enjoy cross-functional exposure to a variety of data center projects, engineering challenges, and operational support.

Compensation & Benefits

• Competitive executive-level salary commensurate with experience and expertise.
• Performance-based bonuses tied to program and organizational success.
• Comprehensive benefits (medical, dental, vision, 401(k) match).
• Flexible Personal Time Off and Vacation Policy
• Parental leave, disability, military leave support.
• Support for continuing education and professional certifications.
• Collaborative and mission-driven workplace culture emphasizing innovation and sustainability.
• Opportunities for performance-based advancement and career growth

Nuclei Data LLC is an Equal Opportunity Employer. We do not discriminate based on race, color, sex, national origin, disability, age, gender identity, sexual orientation, veteran status, or any other legally protected class in our employment practices.

About the Role

We are hiring a Senior Engineering Manager to lead electrical engineering delivery across utility-scale solar and battery energy storage (BESS) projects in the U.S.

This role owns electrical scope from early development through construction, commissioning, and operations. You'll act as the technical authority across multiple projects, working closely with EPC contractors, utilities, vendors, and internal teams to ensure compliant, high-performing power plants.

This is a hands-on senior position suited to an experienced electrical leader who enjoys owning technical outcomes and influencing major infrastructure projects.

Company Overview

Our client is a growing renewable energy developer building a U.S. portfolio of utility-scale solar and BESS assets.

They offer a collaborative, technically driven environment with strong leadership support and competitive compensation. This is an opportunity to join a platform in growth mode, with visibility across large-scale projects and the chance to help shape long-term engineering standards and delivery practices.

Key Responsibilities

• Lead all electrical engineering activities for utility-scale solar and BESS projects across development, design, construction, commissioning, and operations
• Provide technical direction and subject-matter expertise for both new projects and existing operating assets
• Partner with project management and procurement teams to support on-time and cost-effective project delivery
• Coordinate engineering efforts with EPC contractors, equipment vendors, utilities, and regulatory authorities
• Oversee engineering studies, feasibility assessments, and detailed design reviews
• Ensure compliance with NEC, IEEE, safety regulations, environmental standards, and internal engineering requirements
• Own MV/HV systems, substations, protection & control, and grid interconnection scope
• Support ERCOT interconnection processes and Texas grid requirements
• Monitor plant performance and recommend optimization strategies
• Review and approve technical documentation, drawings, reports, and specifications
• Evaluate and implement new technologies to improve plant efficiency, reliability, and sustainability
• Provide technical leadership and guidance to internal engineering teams and external partners

Required Qualifications

• Bachelor's degree in Electrical Engineering (Master's preferred)
• Minimum 15+ years of professional electrical engineering experience
• At least 5+ years working on utility-scale solar projects (BESS experience strongly preferred)
• Proven experience in engineering management and technical leadership
• Strong working knowledge of: MV/HV electrical systems, Substations, Protection & Control and Grid interconnection
• In-depth understanding of U.S. electrical codes and standards (NEC, IEEE)
• Direct experience with ERCOT and Texas interconnection requirements
• Experience working with EPC contractors and field construction teams
• Strong technical documentation, design review, and approval capabilities

AI Research Scientist – NLP/Computational Linguistics

A well-funded applied AI startup is building advanced systems to distinguish human-created content from machine-generated content. The team combines frontier research with real-world deployment, turning cutting-edge ideas into production systems used at scale.

They're hiring an AI Research Scientist to improve and scale core detection models. This is a hands-on role where you'll train large neural networks, design experiments, and push model performance forward, while also shipping code into production.

What You'll Do

• Train and fine-tune large-scale deep learning models
• Design experiments to improve robustness and generalization
• Create and leverage synthetic data at scale
• Contribute new ideas that materially improve model accuracy
• Collaborate with engineering to deploy research into production systems
• Share insights through technical writing or publications where appropriate

This is not a purely academic role, you'll be expected to code, ship, and iterate.

What They're Looking For

• PhD in ML/AI/NLP (or equivalent research experience at a leading AI lab)
• Publications at top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP) or meaningful contributions to deployed AI systems
• Strong understanding of generative models and modern LLMs
• Experience training models in PyTorch at scale
• Evidence your research has led to real-world impact

Bonus Points

• Work in robustness, interpretability, synthetic data, or model evaluation
• Background in NLP, computational linguistics, vision, audio, or other adjacent ML domains
• Experience with distributed training or ML infrastructure

Ideal Profile

• Early-career researcher (including strong new PhDs) who wants applied impact
• Industry researcher who wants more ownership and product exposure
• Someone motivated by AI integrity, trust, and responsible deployment

Small team. High ownership. Deep technical problems. Real-world impact.

Position: Manager, Paid Social

Location: Remote

Comp: $140,000–$160,000 base (DOE) + equity

Reports to: Head of Paid Media

Must Have: Experience scaling paid social in a DTC or subscription business with strong analytical rigor and structured testing approach

Overview

We're looking for a Manager, Paid Social to own and scale a core acquisition channel for a high-growth DTC wellness brand. This is a newly created role as the company brings paid media in-house from an agency model. You'll be responsible for driving performance, improving efficiency, and building structure across the paid social program. This is a hands-on role with full ownership of strategy and execution, working closely with a Head of Paid Media and cross-functional partners in creative and e-commerce.

What You'll Do

• Own paid social strategy and execution across key platforms, with full accountability for performance
• Bring structure and clarity to the account by implementing clean campaign architecture, testing frameworks, and reporting
• Design and execute a disciplined creative testing roadmap in close partnership with the internal creative team
• Analyze performance across the full funnel and identify where efficiency is gained or lost
• Manage budgets to scale spend while improving CAC, payback, and overall efficiency
• Evaluate and optimize campaign performance based on both platform metrics and broader business impact
• Partner closely with growth, creative, and leadership to align on priorities and translate insights into action
• Support the transition from agency-led buying to fully in-house ownership

What We're Looking For

• 4–8 years of experience in paid social, ideally within DTC or subscription-based businesses
• Proven experience managing and scaling meaningful budgets while maintaining or improving efficiency
• Strong analytical skills with the ability to diagnose performance issues and translate data into clear actions
• Experience building and executing structured testing frameworks across creative, audience, and campaign setup
• Hands-on operator who is comfortable in-platform and owns outcomes end to end
• Experience working closely with creative teams to drive performance through messaging and testing
• Builder mindset with experience bringing programs in-house or improving existing account structure
• Clear understanding of what you personally owned vs. supported in prior roles

Why This Role

You'll have full ownership of a critical growth channel at a company scaling rapidly, with the opportunity to build the foundation of the paid social program as it transitions in-house.

This is a high-impact role with direct access to leadership, a strong cross-functional team, and the ability to shape how performance marketing operates moving forward.