Production Line Management Engineer Jobs

Zoox is looking for an experienced software engineer to work on large-scale simulation pipelines used to validate the behavior of the Zoox self-driving vehicle. These are data and GPU intensive workloads built on Ray.io and Kubernetes. Given the massive scale and criticality of these pipelines, ensuring their reliability and efficiency has a significant impact on the company's ability to safely and quickly iterate on autonomy development. We are a small, scrappy team within the larger Autonomy organization. Although this role primarily involves off-vehicle pipelines, you will work closely with engineers developing the on-vehicle algorithms and models in our autonomy stack. We stay close to the end users - autonomy engineers - and think about the end to end use case for these validation pipelines. This is a hands-on role with a high degree of independence and ownership. You will be expected to contribute towards the framework’s architecture, reliability, efficiency, and grow its capabilities to support new use cases. You should have a track record of keeping production systems running with high availability. Experience with robotics or autonomous systems is not required but an understanding of the robotic data lifecycle is preferred. In this role, you will: Improve the cost efficiency, reliability, and performance of our validation and simulation pipelines Create production-grade APIs, SDKs, and tools to enable a varied set of validations of autonomous behaviors Improve the ML training pipelines supporting the autonomous behavior org Qualifications Bachelor’s degree in Computer Science or related field and 8+ years of industry experience Experience optimizing large-scale distributed systems for cost and efficiency Experience with AWS or similar providers Proficiency with Python and familiarity with C++ Bonus Qu

Opportunity Overview: We are seeking a Lead Data Engineer to drive the design and delivery of our cloud-native healthcare data platform. You will lead the implementation of scalable data solutions built on AWS, Apache Iceberg, Lake Formation, Glue Catalog, Athena, dbt, and modern orchestration frameworks. This role combines deep hands-on engineering with technical leadership and collaboration across platform, analytics, and business teams. What you’ll do: Lead Data Engineering Initiatives Lead delivery of complex data engineering projects across multiple teams Drive technical execution from design through production deployment Establish scalable implementation patterns Build and Optimize Data Platforms Design and implement batch and near-real-time pipelines Build reusable ingestion, transformation, validation, and publishing frameworks Support modernization of legacy workloads Lakehouse Engineering Lead Apache Iceberg implementation and optimization Define standards for schema evolution, partitioning, compaction, and metadata management Ensure efficient storage and query performance Data Quality and Reliability Implement data quality frameworks Drive observability and monitoring practices Improve operational excellence and reliability Technical Leadership Review architecture and design proposals Conduct code reviews and engineering reviews Mentor engineers and establish best practices ISMS roles and responsibilities: Good knowledge of Information practices. Assist the manager in all the information security activities implementation and maintenance process. Ensuring the team and imparted with Competence related to Information security Responsible for implementation of security policies and procedures and report any issues to the Information Security Manager. Required Qualifications: 8–12 years of Data Engineering experience. Experience leading enterprise-scale data initia

About the Team The Cooperative AI team is scaling to devices and embedded operations and user experiences. Our model-powered scaled workforce and knowledge system are moving on to the edge and powering our devices and edge experiences. By leveraging OpenAI’s state-of-the-art models and technologies, in production and in the lab, we develop systems that reason and work autonomously with customers and with our workforce responsible for operational work. We carry real workloads for critical systems across finance, sales, customer support, integrity, product insights, internal operations, and now devices to drive insights into product and industry. We partner closely with internal teams and external customers globally, operating in a hyper-fast feedback loop where many of our users are just a few steps away. This proximity allows us to iterate quickly, validate impact in real time, and accelerate industry impacting learnings and systems builds. We are a highly multidisciplinary, self-contained team focused on transforming the workplace via smart systems, knowledge, scalable and reliable primitives that apply world-class AI capabilities across domains. Our mission is to learn fast and transform how humans collaborate with AI at scale. About the Role We are looking for a Technical Lead Manager to lead a team of engineers building AI-native embedded experiences and operations-forward systems. In this role, you will perform both hands-on technical leadership and small team management. You will drive business outcomes, architecture and technical strategy for complex systems, contribute directly to implementation, and help grow a high-performing team. You will work closely with internal stakeholders to understand operational challenges, identify high-leverage opportunities for automation, and deliver solutions that create measurable impact. This role is ideal for someone who enjoys moving between technical design, coding, mentoring engineers, and working directly with users t

We're looking for a Senior Account Executive, Acquisition to join our ANZ team focused exclusively on Digital Native Businesses (DNBs). This is one of the most exciting growth areas within MongoDB. You will work with some of the region's most innovative software, fintech, AI-native and technology companies, helping them build and scale modern applications on MongoDB. Your focus will be twofold: Winning new customers across the ANZ Digital Native ecosystem Helping early-stage MongoDB customers expand their adoption as they build and scale AI-powered applications This role requires a true hunter mentality combined with the ability to engage technical and business stakeholders alike. You will work closely with founders, CTOs, engineering leaders, product teams and developers, helping customers move from experimentation to production-scale applications. You will collaborate closely with AWS, Microsoft and Google Cloud teams, as well as consulting and technology partners, participating in AI-focused events, startup communities and ecosystem initiatives across the region. This is a unique opportunity to sit at the intersection of enterprise technology, venture-backed innovation and the next generation of AI-powered applications. The successful candidate will become a trusted advisor to some of the region's most innovative companies as they navigate modernization, cloud transformation and AI adoption. This role can be based out of our Sydney office. Requirements 5+ years of successful enterprise technology sales experience Proven track record of new business acquisition and quota attainment Strong executive communication and relationship-building skills Self-starter with a strong hunter mindset and passion for building pipeline Comfortable operating in fast-moving, high-growth environments Experience working with AWS, Google Cloud, Microsoft or broader technology ecosystems is highly desirable Experience selling into software, fintech, SaaS, AI-native or Digital Native org

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a E5/MTS/SMTS NAND Design Rule / Process Integration engineer, your role is to support the development and high-volume manufacturing of advanced 3D NAND technologies. This role drives design-rule and PDK deliverables, partners closely across process integration and design organizations, and ensures quality, documentation, and timely execution across R&D and production programs. Lead the release of design rules and PDK deliverables; manage DRC waivers, mask definitions, and mask reviews for both R&D and production designs. Own program execution and milestones from kickoff through end-of-life. Partner with stakeholders across Array & CMOS Process Integration, Devices, Layout & Design, Modeling, Scribe & Frame, unit process areas (e.g., PHOTO/OPC/CMP), and Quality & Reliability to guide new 3D NAND generations. Ensure high quality and documentation for Design Rule Checks (DRCs) and drive timely disposition of deviations and exceptions. Collaborate with Yield Enhancement, Product Engineering, Defect Analysis, and Quality Assurance to identify layout- or database-related process issues and prioritize corrective actions. Design and evaluate test structures to generate data for next-generation devices and to assess process margin on

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About Okta for AI Agents Okta secures access for 20,000 organizations and billions of users. Okta for AI Agents extends that work to the agentic shift. Deploying an AI agent is not like deploying traditional software. You are putting professional work output into production, and it needs deep integration, continuous tuning, and change management. Every agent needs an identity, a scope, an audit trail, and a way to be shut down when it goes wrong. Most enterprises have not built this yet. We are. We hire builders who see the cracks in enterprise agent identity that everyone else has learned to live with. The Role You are the most senior technical field authority for agent identity at Okta. Where a Senior FDE owns the outcome inside one account, you own the patterns that every account and every FDE inherits. You take the hardest and most strategic deployments yourself, set the reference architecture the team builds from, and turn what the field learns into the direction the product takes. You still write code. You also multiply the people around you, and you are the person product and engineering leadership call when an agent identity problem has no precedent. Responsibilities Own the reference architecture. Define the canonical agent identity, delegation, audit, and kill-switch patterns that Senior FDEs deploy across the portfolio, and keep them current as the standards and the product move. Lead the hardest accounts. Personally own the most strategic, regul

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. We are seeking a Senior Software Engineer - Instawork Robotics to contribute to the development of next-generation products as a key team member driving impactful features from concept to production. You will collaborate across Engineering, Operations, and Business teams to translate customer requirements into clear, scalable technical solutions, leveraging AI methodologies to deliver high-quality products and efficient software workflows. You’ll work across distributed systems, Kubernetes, cloud infrastructure, observability, and high-throughput data workflows—supporting a platform already processing 50+ PB of data and 600K+ hours of video. You are someone who thrives in ambiguous problem spaces, has strong product instincts, and can translate customer needs into technical solutions that drive business outcomes. Who You Are: 5+ years of professional experience with a focus on high-growth product environments, particularly in Robotics, AI/ML, and related fields. Strong coding and architectural proficiency—you prioritize moving quickly down the right path to ship reliable code daily Full-stack proficiency—comfortable across backend services, APIs, and modern frontends (React, Angular, or Vue.js) Strong product instincts—you translate customer needs into technical solutions that drive business outcomes AI-First mindset—expertly using AI coding tools to accelerate delivery without compromising architectural integrity Agile execution—you understand the lifecycle of a feature from local branch to production m

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Software Engineer on the Internal Tooling team, you will own the internal operating system that sits at the heart of how Baseten operates. Capacity helps unlock revenue by carefully balancing supply and demand. The operating system manages all aspects of the customer lifecycle: from onboarding to managing complex customer SLA requirements. This role is for engineers who want to own a product end to end, not just implement tickets. You will work directly with the Capacity, Sales, and Engineering teams to understand requirements, define solutions, and ship software that removes friction from some of the most high-stakes workflows in the company. If something is slow, manual, or error-prone in the capacity fulfillment lifecycle, you will be the one to fix it. You are a strong fit if you have strong product intuition, move fast without sacrificing quality, and take satisfaction in building tools that make the people around you measurably more effective. RESPONSIBILITIES Own the Capacity product end to end: scoping, design, implementation, and iteration based on feedback from internal stakeholders Translate complex operational requirements from Capacity, Sales, and SRE teams into clean, ergonomic product experiences Build and maintain full-stack features across the Capacity toolchain, including UI surfaces, APIs, and backend services Identify workflow bottlenecks and manual processes across the capacity lifecycl

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We're looking for a Customer Marketing Manager who can own the full customer evidence motion at Baseten: building the systems that capture customer stories, running the co-marketing programs that amplify them, and developing the channels and assets that get those stories in front of the right people. Our customers are ML engineers and AI teams deploying serious workloads — and the stories they tell about what they've built matter. We've earned trust with some of the most demanding technical teams in the industry, and this role exists to turn that trust into evidence. RESPONSIBILITIES Co-Marketing Execution Serve as the DRI for every customer co-marketing launch end to end — managing timelines, coordinating internal and external stakeholders, and driving the process from first outreach to final publication Own the single source of truth for what's in flight across all customer co-marketing activity Coordinate with design, social, and sales to ensure every asset is built, approved, and distributed correctly Customer Evidence & Asset Library Own the customer evidence library: written case studies, video stories, customer quote repository, logo library, and sales snippets ensuring all assets stay current and are tagged and accessible for sales and marketing use Run the monthly operating rhythm: new logo additions from closed-won opportunities, asset updates, and customer health checks Programs & Channels I

Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. About the Role We’re looking for a S enior Infrastructure Engineer to improve reliability and stability of Webflow’s customer-facing, production infrastructure, serving millions of page views per hour. Our product is used by over 2 million users world-wide across 190 countries, and you’ll help ensure our platform is secure and scalable for these users as tens of thousands of projects are launched on Webflow each month. Location: Remote-first (Argentina) Permanent, full-time employee (this is not a contractor position) Application Information: Application deadline: applications accepted on an ongoing basis until position is closed and filled This posting is for a new position. As an Senior Infrastructure Engineer you will: Own and evolve the cloud platform that Webflow's product and engineering teams depend on, including our compute layer, EKS fleet, serverless infrastructure, networking, and cloud operations across AWS and GCP. Help design and maintain our infrastructure-as-code foundation, evolving the patterns and shared components other teams build on. Design and maintain the networking layer that connects Webflow's services, ensuring reliability, security, and scalability across our cloud environments. Help make observability data the foundation of how we operate, improving the dashboards, alerts, and SLOs for the infrastructure you own so that issues are caught before customers notice, and on-call pages are actionable instead of noisy. Build and maintain AI-powered automation that improves how we manage cloud infrastructure, from policy-as-code and drift detection to LLM-assisted runbook generation. Help define the culture of this growing team as

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We are seeking a Mechanical Engineer to design and prototype novel tactile, proprioceptive and force sensor solutions. You will work closely with experienced engineers and cross-functional partners to set functional requirements, develop and iterate on hardware to meet program expectations. This role is aimed at candidates with strong fundamentals in mechanical system design and robotic sensing including tactile sensors, force sensing and position sensing. You will contribute to real hardware programs moving from prototype through early production. You will lead both new sensor subsystem development and ongoing improvements to existing systems based on testing, field performance, and manufacturing feedback. This role is based in San Francisco, CA, and requires in-person presence 4 days a week. In this role, you will Lead the design and iteration of mechanical subsystems, including tactile sensors, load cells, force torque sensors and joint encoders. Create and maintain CAD models, assemblies, and drawings with appropriate tolerancing and documentation. Build and test prototypes, supporting debugging of mechanical issues such as fit, alignment, friction, and wear. Assist in developing test methods and executing validation to evaluate performance, durability, calibration and failure modes. Work with cross-functional teams to integrate mechanical components with sensors, actuators, and control systems. Support transition of designs from prototype to manufacturable assemblies, incorporating DFM and DFA considerations. Collaborate with manufact

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We are seeking a Senior Mechanical Engineer to lead the design, integration, and sustaining engineering of mechanical subsystems in robotic platforms. You will work closely with experienced engineers and cross-functional partners to set functional requirements, develop and iterate on hardware to meet program expectations. This role is aimed at candidates with strong fundamentals in mechanical system design — including tolerance, alignment, load paths, wear, and failure modes — and robotics. You will contribute to real hardware programs moving from prototype through early production. You will lead both new subsystem development and ongoing improvements to existing systems based on testing, field performance, and manufacturing feedback. This role is based in San Francisco, CA, and requires in-person presence 4 days a week. In this role, you will Lead the design and iteration of mechanical subsystems, including structures, mechanisms, and actuators. Create and maintain CAD models, assemblies, and drawings with appropriate tolerancing and documentation. Build and test prototypes, supporting debugging of mechanical issues such as fit, alignment, friction, and wear. Assist in developing test methods and executing validation to evaluate performance, durability, and failure modes. Work with cross-functional teams to integrate mechanical components with sensors, actuators, and control systems. Support transition of designs from prototype to manufacturable assemblies, incorporating DFM and DFA considerations. Collaborate with manufacturing partners

Why RoboForce RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company’s robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability. We are hiring a Lead AI Native Engineer to build RoboForce’s vertical agents and shared agent foundation. Reporting to the co-founder, you will turn frontier models into systems for strategy and engineering. This is a hands-on technical leadership role: you will write code, set architecture, and enable agent development—not lead People programs or organizational transformation. Responsibilities Build vertical agents. Own end-to-end agents for high-value workflows across research, software, hardware, data, and operations—from problem definition through production use. Establish the agent foundation. Build reusable primitives for models, tools, orchestration, context, memory, retrieval, permissions, human approval, and long-running execution. Create the context layer. Connect agents to trusted data through APIs, pipelines, MCP servers, and integrations with clear provenance and access control. Own evaluation and reliability. Build benchmarks, regression tests, tracing, monitoring, and failure-analysis loops across quality, latency, cost, security, and resilience. Advance frontier agent usage. Evaluate new models, coding agents, SDKs, and patterns, then turn useful capabilities into maintainable systems rather than demos. Support strategic initiatives. Help company leadership apply agents and analytical systems to market and customer intelligence, partnerships, fundraising, diligence, scenario analysis, and executive decisions. Provide technical leadership. Set architecture and engineering standards, review designs and code, and create reusable patterns for the technical team. Requirements 5+ years in software engineering, applied AI, ML systems, or a related field, with strong zero-to-one technical judgment. Exper

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Description Responsibilities: As part of the manufacturing team, you will be - Responsible for analyzing machines utilization, improving and ensuring quality output. Maintain overall production efficiencies of assigned workstations Support a safe work environment by following safety procedures and promptly reporting identified hazards. Work alongside Equipment engineers to strengthen and maintain equipment availability to meet stringent product requirements. Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.​ Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work. Requirements: A relevant Nitec/Higher Nitec/Diploma in Engineering OR equivalent working experience Experience in semiconductor manufacturing will be an added advantage. Self-motivated, results-oriented, and looking for growth Proficient in Microsoft Offi

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the RL Teams Our Reinforcement Learning teams play a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of our latest Claude models. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to write, edit, test, debug, and ship real software — end to end, on real codebases, with real tools — and to do it correctly, fast, and safely. This role blends research and engineering. You'll design RL environments and coding tasks, build the reward signals and verifiers that capture what "good code" means, run training experiments on frontier models, diagnose why a model does (or doesn't) get better at a class of software-engineering work, and improve