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.

Location : Fremont, CA – Onsite. This is a compliance, operations, and data analytics-based role. The candidate is expected to perform operations-based duties in order to understand the full scope of the assignment. The candidate is expected to own their own workflow and follow established processes aimed at maintaining data integrity. The ideal candidate should possess a forward-thinking mindset; learning the project they are assigned and then seeing if there is any room for process improvement or driving automated solutions.

Location: Remote

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 : Austin, TX, Seattle, WA, / Fremont, CA – Onsite The ODM Materials Manager will own material readiness, supply continuity, and production execution with assigned ODM partners across server and infrastructure hardware programs. This role serves as the client's single point of accountability for ODM material planning, Commit-to-Build execution, and risk recovery to support global data center buildout schedules.

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.

Location : Redmond, WA / Burlingame, CA – Onsite We are looking for a Linguist to help us develop language components for a variety of voice-enabled technologies and products. We are seeking candidates with strong linguistic data analysis and language technology experience to manage data collection, LLM-powered data synthesis and data annotation tasks, prompt engineering, rule-based classifier encoding, and quality evaluations.

Location : Remote We are seeking a Software/Solution Engineer to support the Human Agentic Review Platform onboarding pod with integrating new products into Client's Scaled Review Tooling (SRT) systems. This role focuses on onboarding work — handling the growing volume of new product ↔ SRT integration requests — so the core engineering team can stay focused on platform development. It is a cross-functional role requiring close coordination with engineering and XFN (cross-functional) partners.