Location: Remote , Canada. Position Overview: • Client is seeking a data engineer contractor to join our growing analytics team. • We are seeking an experienced contract Data Engineer to design and build scalable data pipelines for structured and unstructured data across AWS and Google Cloud. • This role will develop and maintain our cloud-based data architecture, including Apache Iceberg tables on AWS S3 and Glue, data delivery to Google BigQuery, and AI agents built with Google ADK and Agent Studio. The role is also responsible for troubleshooting and resolving complex issues in production systems, ensuring minimal downtime and optimal performance. • The ideal candidate is detail oriented, comfortable working with large, high-frequency data sets, and able to deliver independently. • They bring a problem solving mindset, clear documentation habits, the ability to collaborate closely with our business team, and drive to optimize data processes

• As a Data Engineer at Client Customer Experience (CX) team, you will be part of a global team that unlocks the power of customer feedback and insights to drive business improvements. Your background an experience in building scalable data pipelines, designing robust data architectures, and creating insightful self-service dashboards will provide visibility into the health of our key business metrics, enabling us to deliver insights that enhance customer experiences. You will also play a key role in enabling AI-driven analytics and automation capabilities across the team—leveraging large language models, machine learning workflows, and intelligent tooling to accelerate insight generation and operational efficiency. Additionally, you will contribute to the development of data governance policies, data quality standards, and data visualization best practices, ensuring the accuracy, reliability, and actionability of our data assets. • We're seeking a data engineer with a strong technical background in data engineering and AI enablement, combined with functional expertise in customer experience insights—specifically in customer support and operations. To excel in this role, you'll need to be passionate about data, adept at managing multiple projects simultaneously, and thrive in a fast-paced environment. You should also possess excellent organizational and presentation skills, be able to build and maintain strong relationships with internal partners and stakeholders and demonstrate a proven ability to work effectively within cross-functional teams.

Location: Sunnyvale, CA (Onsite). • We are seeking an experienced EE Validation Engineer to support hardware validation of next-generation smart glasses, working closely with the validation lead. In this role, your primary focus will be monitoring validation progress, reviewing CM test reports, analyzing failures, and coordinating with EE design partners to drive issues to closure. You will also guide CM engineers on measurement procedures and perform hands-on PI/SI debug when needed. • While you must possess strong hands-on measurement skills, most of your time will be spent interpreting data, tracking issues, and ensuring problems are resolved efficiently. You will not own final validation decisions, but you are expected to be technically strong enough to flag risks, recommend actions, and keep execution on track under the lead's direction.

Location - Boston, MA The role involves close collaboration with Business and Technical Platform Product Owner (mainly Resolver), RLM program team as well as key stakeholders across Client Digital and Data & Performance teams, Data Domains, and E2E Data Flow Architects

Location - San Clemente, CA Prepare or assist in the preparation of engineering designs, specifications, standards, studies, cost estimates and the development of sound technical recommendations, in support of projects and tasks managed by others within the Company electric utility departments. Apply a high level of technical expertise to solve engineering and operational problems. Coordinate and direct small projects and tasks, including development of work scope, budget, and schedule. Direct and assist team members, both Company employees and outside contractors, in the completion of their work. Coordinate input from, and participation with, various departments within the Company as needed to meet project objectives. Day to Day: Evaluate high SAIDI/CAIDI circuits to identify and develop reliability improvement projects that enhance distribution service reliability. Prepare and present project proposals to the reliability team. Candidates should have knowledge of power system studies and electrical distribution systems, as well as the ability to communicate complex electrical concepts effectively to customers

Client is seeking a strong System / Machine Learning Engineer to join our AI Research team; an organization focused on making research breakthroughs in AI. The chosen candidate will work with a diverse and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.

Location - Fairfield, OH We are seeking a hands-on Manufacturing Training & Documentation consultant to utilize their Industrial Engineer experience to support the development and standardization of training materials across manufacturing and warehouse operations. This individual will spend significant time on the production and warehouse floor observing processes, engaging operators and subject-matter experts, and translating current and improved processes into clear, practical training documentation. The primary focus will be creating and maintaining Standard Operating Procedures (SOPs), Standard Work, Job Instructions, and On-the-Job Training (OJT) materials that improve employee training, process consistency, quality, safety, and operational efficiency. The ideal candidate combines strong technical writing and training-development skills with practical manufacturing experience and an understanding of Lean/Continuous Improvement principles.

Location : San Antonio, TX 78205 Responsible for diagnosing and resolving complex Linux, software, hardware, and network issues in production environments. Works closely with engineering and operations teams to identify root causes, implement solutions, improve system reliability, and support infrastructure operations.

location : Groton CT USA 06340 We are seeking a Manufacturing Systems Support Engineer to support digital manufacturing systems within a GMP-regulated pharmaceutical manufacturing environment. This individual will work closely with cross-functional teams to maintain, enhance, and support manufacturing execution systems, electronic batch records, data collection processes, and manufacturing reporting solutions. The ideal candidate combines a strong engineering mindset with technical aptitude, excellent communication skills, and the ability to learn new systems quickly. This position offers an excellent opportunity for early-career engineers interested in manufacturing technology, process improvement, and digital transformation.

Location : Menlo Park, CA (Onsite) The role: • Join the small team building Conductor, the data and operations platform for our robotics program. Conductor manages high-volume, multimodal robot data from ingestion through quality control, discovery, training, and evaluation. You will own meaningful production systems, work directly with researchers and robotics engineers, and ship quickly with a high degree of autonomy. What you’ll do: • Build reliable backend services, APIs, and data pipelines using Python and Go across PostgreSQL and AWS/S3. • Design systems for ingesting, indexing, transforming, validating, and serving large robotics datasets. • Develop agentic and LLM-powered workflows for data quality, enrichment, automation, and research productivity, with appropriate evaluations and guardrails. • Improve performance, observability, correctness, and operational reliability across the platform. • Take projects end to end clarify requirements, make pragmatic design choices, implement, test, deploy, and iterate with users. What we’re looking for: • Exceptional software-engineering fundamentals, including data structures, algorithms, systems, databases, and debugging. • Evidence of building a substantial backend, data-intensive, distributed, or developer-infrastructure system through internships, research, open source, or ambitious independent/course projects. • Strong programming skills and experience with at least one statically typed language; working knowledge of SQL. • Ability to write clear, maintainable production code and reason carefully about reliability, performance, and data correctness. • High ownership, intellectual curiosity, sound judgment, and comfort moving quickly in an ambiguous environment.

We're looking for a software engineer to help build and evaluate CUA (Computer Use Agents) — models trained to operate real software and complete computer-based tasks the way a skilled engineer would. You'll own complex, long-running technical workflows end to end — implementation, validation, documentation, and follow-through — and design and maintain the tasks, benchmarks, and test suites that measure CUA capability as the underlying models, APIs, and infrastructure keep evolving. You hold an exacting bar for code quality: you love writing tests, you're fluent with deployment strategies like canary releases and rollbacks, and you bring a strong sense of risk management. You have a sharp eye for weak implementations and give (and take) blunt, direct feedback. You're also fluent with AI coding assistants like Claude Code, Codex, or Cursor, with your own well-developed best practices for using them, and you're proficient in Rust, Python, and/or TypeScript. Above all, you bring strong debugging and experimental discipline — the ability to investigate discrepancies across code, configuration, infrastructure, and results within the CUA stack, and turn ambiguous findings into reproducible conclusions.

Location : Remote Data Center Performance is Client's strategic, open-source datacenter benchmark suite. It captures the diverse production workloads that run across Client's server fleet — including the social graph data store (TAO), recommendation systems, Django, web serving (HHVM), and the data warehouse — through a set of representative macro-benchmarks, microbenchmarks, and integrated performance-monitoring and reporting tooling. Data Center Performance is a critical input to new hardware bring-up and the New Product Introduction (NPI) process and is used in close collaboration with industry partners such as AMD, ARM, and NVIDIA to tune hardware and project future CPU generations. Maintaining Data Center Performance's accuracy, representativeness, and ease of use directly shapes the hardware design and procurement decisions for Client's datacenters. In this role, you will help sustain and extend Data Center Performance's benchmarking, automation, CI/CD, and reporting infrastructure, and contribute to active initiatives such as Data Center Performance containerization and Data Center Performance Mini.