Staff Technical Writer Jobs

Senior/Staff/Principal - Adv Pkg TD Integrator — Fab 10A, Singapore. Apply via Workday.

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. As a small team, we’re all generalists that work across the full stack (built in Typescript end-to-end). We’re looking for experienced engineers that thrive in an environment of autonomy and individual responsibility to help us build the future of product development. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in the US and Europe. You can work from anywhere within these regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Work closely with founders and design to implement new concepts and ideas Build AI-powered functionality into the core of Linear Update our realtime collaborative content editor used across all internal surfaces Build new user-facing features with beautiful and scalable UI components Obsessively improve application performance Refine our software development processes to keep the team operating at high velocity What we're looking for 5+ years of experience building customer-facing products at a high-quality software company Strong React and TypeScript fundamentals, with experience across the full stack (Browser technologies, Node, GraphQL, PostgreSQL) Track record of driving complex, end-to-end features (not just incremental improvemen

About the Role We are seeking a Staff Enterprise Architect, Data to lead the strategy, design, and modernization of our enterprise data landscape. This role operates at the intersection of data architecture, engineering, and AI enablement, defining solutions to integrate our Data Lake and Data Warehouse across multi-cloud platforms. Over the next 12-18 months, you will enable self-service data access and natural language query capabilities for business users. You will architect Master Data Management and data lineage frameworks ensuring AI models operate on high-quality, governed data. You will also evaluate and implement AI-powered tools to automate data quality monitoring and enhance data security. We're looking to speak with candidates based in the San Francisco Bay Area for our hybrid working model. Key Responsibilities Data Strategy & Roadmap Design semantic layer architecture standardizing business metrics enterprise-wide. Define governance guardrails ensuring natural language queries access validated master data sources Develop Master Data strategy for Customer and Product domains (phases 1-2), Finance and People to follow. Define golden record requirements, stewardship models, and system-of-record hierarchy. Partner with business owners on master data governance Define cross-cloud data integration strategy and reference architecture. Specify patterns (federation, replication, abstraction layer) balancing performance, cost, and data freshness. Document trade-offs and recommend implementations for batch and near-real-time use cases Develop 12-24 month data architecture roadmaps for Finance, Sales, Product, and People. Identify capability gaps and recommend technology investments with business value and effort estimates Systems Design & Solution Leadership Evaluate AI-powered data observability platforms for quality monitoring, pipeline failure prediction, and data classification. Define requirements, lead vendor POCs, and establish integration patterns

As a CNC Programmer at Zoox, you'll interface with a broad range of Engineers and Craftspeople to build hardware systems for our Vehicle, Compute, Sensor, and testing fleets. Core values include a positive outlook, good interpersonal skills, and a desire to affect a company genuinely trying to change the world. Familiarity with names like Hermle, DMG Mori, Siemens, Heidenhain, Lang, Haimer, and Robotic Solutions will give you a head start at Zoox. Your experience in a professional and well-equipped CNC shop and positive outlook in a team environment will serve equally well on the path to success. Our team encompasses everything from prototyping to manufacturing operations. Career growth will be at your disposal. We serve an entire company and often volunteer to step outside our disciplines to help all who ask. If this sounds like the position you're looking for, we look forward to meeting you. In this role, you will: Manufacture parts from one-off prototypes to short-run production in a variety of materials Program 5-axis CNC machines using HyperMILL Design and machining of fixtures to hold components during machining operations Setup and teardown of CNC machines Interface with people across the company to acquire the correct set of data needed to make components Assist in ordering materials and tools for the machine shop Develop and maintaining digital tooling and work holding databases Work with engineering teams to provide DFM feedback for machined components Qualifications Extensive experience as a 5-axis CNC mill machinist 10+ years of experience as a CNC programmer using state-of-the-art CAM systems with 3D simulation and collision detection capabilities Familiarity with Heidenhain and Siemens CNC controls Strong CAD skills <p

Snr/Staff Equipment Development Engineer (APTD) — Fab 10A, Singapore. Apply via Workday.

Senior / Staff Engineer, Front End Central Operations Strategy, Yield Enhancement — Hiroshima - Fab 15, Japan. Apply via Workday.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. About the General Agents Team The General Agents team, part of Scale’s Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. About the Role As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you’ll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle—from model and system design to evaluation, deployment, and iteration—bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases. Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints. Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings. Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs. Productionize frontier agent techniques (e.g.,

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. As a Systems Engineer at Zoox, you will be working with cross functional teams including product, feature, operations, vehicle engineering, software, autonomy, and legal to design, develop, and deploy systems that enable and support safe autonomous driving. You are responsible for ensuring these systems are developed within a safety engineering process that results in end-to-end traceability and achievement of both system safety targets and product requirements. In this role, you will: Lead powertrain safety and fail-operational design and analysis covering high-voltage battery systems, charging, propulsion, and on-vehicle load management Architect vehicle-level safety concepts, focusing on fault tolerance, and fail-operational behaviors necessary for supporting autonomy and ensuring mission assurance on the vehicle’s powertrain functions Develop vehicle level safety concepts covering fault detection, and vehicle level reaction for ensuring the powertrain systems can achieve mission objectives under presence of faults Own the delivery of key work-products including hazard analysis risk assessment (HARA), fault tree analysis (FTA), functional safety concept, vehicle level safety requirements, safety clearance artifacts, and quantitative residual risk assessments Drive consensus across product, feature, operations, vehicle engineering, software, autonomy and legal teams to implement and release safety requirements Qualifications B.S. or higher degree in Automotive, Aerospace, Robotics, Computer Science, Electrical, Mechanical, or

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role As a Senior/Staff Systems Engineer working on Autonomy Verification, you are responsible for verifying that the Nuro Driver is safe to deploy in our target ODD and complies with the rules of the road. This requires prior experience with the development or validation of autonomous systems, and a collaborative nature to work closely with a variety of teams across Nuro: Autonomy Software, Simulation, Product, and Operations. You will have end-to-end ownership from requirements definition, metrics design, and test strategy development. About the Work Create requirements for an autonomous system, ensuring safe operation within its ODD and compliance with the rules of the road. Design generalizable metrics and acceptance criteria to verify that the autonomous system satisfies these requirements, leveraging safety standards and methodologies. Propose and leverage diverse test strategies - synthetic and log simulation, on-ro

Bloomreach is building the world’s premier agentic platform for personalization .We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine — Loomi — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. Senior Staff Security Engineer The Senior Staff Security Engineer owns current and target-state data architectures and reporting while also designing, implementing, and monitoring cloud (AWS/GCP) infrastructure security controls; deploying, securing, configuring, and operating SIEM and other security resources; identifying, triaging, and remediating infrastructure and web vulnerabilities; leading incident triage and external-researcher engagement; mentoring junior staff; and helping shape secure, scalable approaches for AI-enabled tooling, automation, and emerging product capabilities. Role summary and core responsibilities 6+ years of relevant experience Candidates must demonstrate proficiency in cloud security, network security, URL filtering, common security frameworks, and CVE lifecycle management Prac

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 seeking a Senior / Staff Robotics Engineer, Motion Planning to own the local mobility and safety stack for our fleet. In this role, you will bridge the gap between AI-driven perception and physical hardware execution. You will consume traversability and semantic costmaps generated by our AI team and translate them into safe, dynamically feasible, and deterministic motion. You are solving the physics of mobility on unpredictable terrain, ensuring our humanoid platform respects its physical limits, shifting center of mass, and traction constraints. Responsibilities Dynamic Motion Planning: Architect and implement advanced local planners (e.g., optimization-based approaches like MPC, MPPI, or custom contouring control) that translate AI-generated routes into trajectories that a heavy, non-holonomic base can physically execute on uneven terrain. AI Integration & Costmap Consumption: Build the high-performance C++ pipelines that ingest the AI team's neural network outputs (semantic maps, learned costmaps) in real-time and convert them into deterministic mathematical constraints for the planner. Center of Mass (CoM) Aware Navigation: Ensure local planners dynamically adjust to real-time changes in the robot's Center of Mass caused by the lifting column and dual-arm payloads. Your trajectories must guarantee stability and prevent tipping on slopes or rough ground. Deterministic Safety Architectures: AI models hallucinate. You will build the deterministic C++ safety layer and fallback behaviors that override AI inputs if a commanded path violates physical safety constraints or if off-the-shelf SLAM tracking drops. WBC Integration: Architect the local planning interfaces to seamlessly pass base trajectories, v

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 seeking Senior / Staff Robotics Engineer, Manipulation to own the arm autonomy stack. You will architect the algorithms that allow our robot to reach, grasp, and manipulate objects safely and intelligently. You will bridge the gap between high-level planning and low-level control, ensuring our robot can interact with the world with both precision and compliance. Responsibilities Advanced Motion Planning & Trajectory Generation: You will architect the algorithms that drive high-DOF arm motion in dynamic environments. This involves implementing constrained motion planners that generate smooth, jerk-limited trajectories in real-time. You will also solve the "Whole Body" control problem, coordinating the mobile base and the manipulator arm simultaneously to extend the robot's workspace and maintain stability during heavy lifting tasks. Interaction Control & Compliance: You will develop the low-level control strategies that enable the robot to physically interact with the world safely. This includes designing and tuning impedance/admittance controllers that allow the robot to modulate stiffness based on force feedback—essential for tasks like opening heavy doors or plugging in connectors. Teleoperation & Human-Robot Interface: You will build the mathematical engine behind our remote manipulation capabilities. You are responsible for the logic that translates human operator inputs into feasible, safe robot motions. You will design the control mapping and assistance layers that ensure remote manipulation feels intuitive and stable, managing the complex translation between human intent and the robot's physical constraints without compromising safety. Requirements Experience: Ph.D. in Robot

This role in the Offline Driving Intelligence team is responsible for developing/learning behavior models for road users such as cars, bicycles, and pedestrians. These agents populate Zoox's simulations and must be indistinguishable from real road users, yet fully controllable: promptable into the rare, adversarial, safety-critical behaviors we need to test against. This means the team’s models directly impact how fast Zoox can train, validate and ship its driving stack. Our team collaborates closely with Planner, Simulation and Validation teams to develop and validate our driving performance. As an ML Agents Machine Learning Engineer, you will work on the bleeding edge of the industry, developing novel machine learning pipelines and models to predict the behavior of other agents in the world and planning the best course of action for the ego vehicle. In this role, you will... Develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for human-like driving agents. Work on novel techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort and realism. Build generative behavior models (e.g. autoregressive, diffusion) that are conditionable on scenario intent — "cut off the ego vehicle," "jaywalk here" — for targeted stress-testing. Leverage our compute, infrastructure and large corpus of data to push boundaries of the field. Develop metrics and tools to analyze errors and understand improvements of our systems. Collaborate with engineers on Perception, Planning, Simulation, and Validation to solve the overall Autonomous Driving problem. Qualifications PhD degree in computer science or related field and 4+ years of relevant professional experience or master's degree and 7+ years of relevant professional experience

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 looking for a Senior / Staff AI Research Engineer, Data Infrastructure to build the data and learning engine behind RoboForce's Physical AI stack. In this role, you will own the full pipeline — from raw teleoperation and UMI device data collection through curation, annotation, and storage, to post-training infrastructure that scores demonstrations, identifies failure patterns, and closes the loop back into model retraining. Responsibilities Design and maintain end-to-end data collection pipelines ingesting multimodal demonstration data from teleoperation devices and UMI hardware, including synchronization, versioning, and distributed storage at scale. Build annotation tooling and data curation workflows — quality filtering, deduplication, episode scoring, and domain reweighting — to produce high-quality training datasets for robot policy learning. Develop post-SFT reinforcement learning infrastructure: implement reward scoring on demonstrations, mine and categorize failure patterns, and feed curated failure data back into the retraining loop. Build evaluation and test infrastructure to log policy rollouts on-robot, capture structured results, and surface actionable diagnostics for the research team. Collaborate with ML researchers to define data schemas, episode formats, and pipeline interfaces that support rapid iteration on VLA and manipulation policy training. Architect scalable storage and retrieval systems for heterogeneous robot data (vision, proprioception, action, language) across both cloud and on-prem environments. Requirements Bachelor's or Master's degree in Computer Science, Robotics, or related field with 5+ years of experience. Strong proficiency in Python and experience build

At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products. The problem we are trying to solve : Brands and retailers struggle to make real connections with consumers. It's a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn't attract new consumers, convert them, or earn their long-term loyalty. Our brand promise : closing the gap between brands and consumers. Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia. It’s official: Bazaarvoice is a Great Place to Work in the US , Australia, India, Lithuania, France, Germany and the UK! As the Lead Engineer of Portal Reports and Insights application team, your primary responsibilities will include designing and implementing distributed, fault-tolerant systems and creating high performance Reporting and Insights applications for Bazaarvoice clients that can run nearly 10k reports every week. These reports and insights are used to produce various metrics about Bazaarvoice products and programs so that their performance can be measured. Reports can also be used to simply export raw data about client's UGC like questions, answers, reviews and products, while Insights provides an