Staff Technical Writer Jobs

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Staff Engineer - Salesforce & Data Engineering reports to the Director of Growth and serves as a technical authority bridging Oak Street Health’s Salesforce CRM ecosystem with enterprise-grade cloud data platforms. This role is responsible for architecting, designing, and deploying scalable end-to-end data pipelines and custom programmatic Salesforce solutions that optimize workflows and drive operational efficiency across the organization. The Staff Engineer mentors engineering team members at all levels and serves as a primary SME for cloud data architecture, Salesforce data integration patterns, and engineering best practices. The key responsibilities for this role are as follows: Lead the architecture, design, and deployment of scalable Azure Databricks data pipelines using PySpark, Delta Live Tables, and Medallion Architecture (Bronze, Silver, Gold layers). Drive enterprise architecture and custom development across the Salesforce platform, including Lightning Web Components (LWC), Visualforce, Apex (Classes, Controllers, Triggers), and Salesforce Flows. Architect and maintain robust enterprise integrations and complex data sync patterns between Salesforce, Azure Data Lake Storage (ADLS)

Opportunity: Get Well is seeking a highly skilled and proficient Staff AI Engineer to drive the development and implementation of advanced AI solutions. This role focuses on the technical execution of AI projects, leveraging expertise in Large Language Models (LLMs), multimodal AI systems, and agentic systems to create innovative healthcare solutions. You will work closely with AI engineering teams, product teams, and cross-functional stakeholders to translate technological capabilities into impactful healthcare solutions, serving as a key technical liaison. Responsibilities: AI Solution Development Design, develop, and implement AI solutions leveraging unimodal and multimodal Large Language Models (LLMs) and agentic systems. Develop and integrate agentic systems using frameworks like CrewAI, LangChain, and LangGraph to enable autonomous decision-making and workflow automation. Enhance product ecosystems by incorporating emerging AI technologies to improve functionality and user experience. Execute model training, fine-tuning, and optimization of inference engines for high-performance AI systems. Ensure technical excellence in AI solution design and implementation. Evaluate and integrate emerging AI technologies into existing systems. Cross-Functional Collaboration Serve as primary technical liaison between AI engineering teams and product teams Translate technical capabilities into product requirements and user-centric solutions Help facilitate communication and alignment across engineering, product, and clinical teams Drive collaborative innovation and knowledge sharing Infrastructure and Optimization Optimize cloud-based AI infrastructure for scalability, performance, and reliability. Implement best practices for efficient AI system deployment and maintenance, including agentic workflows. Performance and Quality Assurance Establish and maintain rigorous testing and validation protocols for AI models Drive continuous improvement in AI model accuracy, efficie

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 role As of May 2026, Claude authored more than 80% of the code we merge . In September 2026, we merged more than 30,000 changes per day . Writing a change is fast now, and the hard part is knowing what is correct and safe to ship. Platform Acceleration builds the internal tools that close that gap for Anthropic's product engineers, who own the Claude API, our SDKs, and the rest of the Claude Platform. We work like a small product team whose customers are other Anthropic engineers. We're looking for Staff+ engineers with a strong background in backend or infrastructure who care about developer experience and have built tools other engineers rely on. We prefer candidates who can work from our San Francisco office, and we'll also consider candidates based in Seattle. What you'll do Design, build, and operate the tools that help product teams ship faster Own the technical strategy and roadmap for your area, and make sure its hardest problems get solved, by you or through others Define what it means to trust a change, especially changes written by Claude, and build the tooling that holds the bar throughout the software development lifecycle Build agents that take on repetitive engineering work, such as diagnosing failures, fixing broken tests, and running migrations Embed with partner teams to find their biggest sources of friction, validate a solution with them, and turn the fix into a product other teams can adopt Move between building new tools and improving the shared systems that teams already depend on, as priorities shift You might be a good fit if you: Experience building and operating backend services or infrastructure i

About the Team The Fulfillment Planning team builds the intelligence that powers DoorDash’s logistics network. We optimize how deliveries are planned and executed across the full delivery lifecycle, improving customer experience, merchant outcomes, Dasher efficiency, and DoorDash profitability. Our mission is to improve fulfillment quality while reducing fulfillment cost. We do this by applying machine learning, optimization, and systems engineering to the core decisions behind assignment, routing, batching, timing, and fulfillment estimation. The team works on some of DoorDash’s most important logistics systems, including: The core assignment engine that matches deliveries with Dashers in real time. Real-time ETA and fulfillment estimation systems for consumers, Dashers, and merchants across diverse geographies and all business lines. Assignment and planning algorithms for specialized delivery types, including grocery, retail, parcel, and catering. ML models and optimization algorithms that shape demand, improve service quality, and reduce cost. Tier-0 logistics services that require high reliability, low latency, and strong operational discipline. The team also builds reusable ML systems and modeling patterns that scale across DoorDash’s logistics ecosystem. This role will help define the technical direction and best practices for logistics ML at DoorDash. About the Role We’re looking for a Staff Machine Learning Engineer to lead the design, development, and deployment of large-scale production ML systems that drive real-time decisioning across DoorDash’s fulfillment ecosystem. You will start by owning ML systems for assignment and fulfillment estimation, partnering closely with Product, Data Science, Engineering, and Platform teams to improve delivery quality, cost, and efficiency. Over time, you may also contribute to adjacent areas such as batching, fulfillment execution, demand shaping, and logistics optimization across DoorDash’s business lines. This is

Natera’s Research team is building tests that can detect many cancers from a single blood draw. We are looking for a Staff Machine Learning and Bioinformatics Scientist to help design the models at the heart of that effort. You’ll work with large-scale, multi-modal genomic datasets from clinical cohorts and partner closely with molecular biologists and clinical scientists. Your research will advance the state-of-the-art and you will drive new methods from prototype, through scalable implementation, toward clinical validation and, ultimately, to patients. PRIMARY RESPONSIBILITIES: Lead the development of novel statistical and machine learning methods for cancer signal detection on multi-modal genomic data Build interpretable, well-calibrated models, setting the standard for uncertainty estimation and reproducibility across the group Prototype, test and productionize ML models using scalable infrastructure Own key technical deliverables within larger projects and help shape the team’s research roadmap Collaborate closely with molecular biologists and clinical experts on design and analysis of experiments and validation studies Keep raising the bar through code and design reviews across projects Translate complex results into clear stories for technical and non-technical audiences Mentor junior scientists and champion a culture of curiosity, collaboration, and scientific excellence QUALIFICATIONS: PhD in Computer Science, Mathematics, Bioinformatics, or a related quantitative field with 6-12 years of experience post-PhD Hands-on experience developing novel statistical / ML analysis methods applied to complex biological data Proven track record of innovation and technical leadership in complex method development projects Expertise in deep learning and multimodal foundation models Proficient in Python and its scientific computing ecosystem Scientific rigor throughout the R&D process, with eagerness to teach and learn new computational methods and biology Excellent co

Natera’s Research team is building tests that can detect many cancers from a single blood draw. We are looking for a Staff Machine Learning and Bioinformatics Scientist to help design the models at the heart of that effort. You’ll work with large-scale, multi-modal genomic datasets from clinical cohorts and partner closely with molecular biologists and clinical scientists. Your research will advance the state-of-the-art and you will drive new methods from prototype, through scalable implementation, toward clinical validation and, ultimately, to patients. PRIMARY RESPONSIBILITIES: Lead the development of novel statistical and machine learning methods for cancer signal detection on multi-modal genomic data Build interpretable, well-calibrated models, setting the standard for uncertainty estimation and reproducibility across the group Prototype, test and productionize ML models using scalable infrastructure Own key technical deliverables within larger projects and help shape the team’s research roadmap Collaborate closely with molecular biologists and clinical experts on design and analysis of experiments and validation studies Keep raising the bar through code and design reviews across projects Translate complex results into clear stories for technical and non-technical audiences Mentor junior scientists and champion a culture of curiosity, collaboration, and scientific excellence QUALIFICATIONS: PhD in Computer Science, Mathematics, Bioinformatics, or a related quantitative field with 6-12 years of experience post-PhD Hands-on experience developing novel statistical / ML analysis methods applied to complex biological data Proven track record of innovation and technical leadership in complex method development projects Expertise in deep learning and multimodal foundation models Proficient in Python and its scientific computing ecosystem Scientific rigor throughout the R&D process, with eagerness to teach and learn new computational methods and biology Excellent co

About the job Shape the power-delivery architecture behind Graphcore’s high-performance AI compute systems, from voltage regulation through package, PCB and silicon. As Staff Power Integrity Engineer, you will provide technical leadership on Graphcore’s most complex power-delivery challenges. Your analysis and judgement will directly influence architecture and product decisions. You will define modelling strategies, optimise decoupling and analyse PDN impedance, voltage droop, transient response and regulator interactions. You will turn complex results into clear engineering decisions, requirements and sign-off approaches. You will lead significant PI issues through resolution and create alignment across silicon, package, board, power, systems and validation teams. You will also develop reusable methods and mentor engineers, raising power-integrity capability across Graphcore. The team and culture The Signal and Power Integrity team sits at the centre of Graphcore’s hardware development. We work across disciplines to understand electrical behaviour and guide consequential architecture decisions. You will own complex PI problems and drive them through to resolution. Decisions are grounded in modelling, first-principles reasoning, hardware evidence and clear assessment of uncertainty. You will challenge assumptions, communicate risk clearly and help teams make pragmatic trade-offs. Technical influence matters more than reporting lines. What we’re looking for Deep practical expertise in power integrity and complex power-delivery network design. Strong understanding of PDN impedance, transient behaviour, voltage droop, resonance, stability and decoupling across high-current digital systems. Ability to reason across silicon, package, PCB, voltage regulation and system boundaries. Strong capability in electromagnetic modelling, circuit simulation, model extraction and selecting appropriate abstraction methods. Engineering judgement to assess model validity, uncertainty an

We are seeking a highly skilled Staff NetSuite Engineer with deep expertise in Order-to-Cash(O2C) & Record-to-Report (R2R) processes and accounting best practices. This role will serve as the technical and functional bridge between Finance and Technology, driving automation, process optimization, and scalability within our NetSuite environment.The successful candidate will lead the design, enhancement, and support of accounting systems that power our General Ledger (GL), Record-to-Report (R2R), Accounts Payable (AP), Accounts Receivable (AR), including credit card process, Tax, and Treasury operations. As a senior member of the Finance Technology team, you will design and implement solutions that streamline accounting workflows, ensure compliance, and enhance financial reporting accuracy. We are looking to speak to candidates who are based in New York City, NY or Palo Alto, CA or remotely in the United States. Key Responsibilities System Architecture & Development Lead the design, configuration, and customization of NetSuite to support R2R and accounting processes (GL, journals, allocations, consolidations, fixed assets, intercompany eliminations) Architect scalable NetSuite solutions that integrate seamlessly with upstream and downstream systems (e.g., procurement, billing, expense management, data lake) Develop and maintain SuiteScript, SuiteFlow, SuiteTalk (Web Services), and RESTlets to support automation and integrations Process & Accounting Alignment Partner with Finance, Accounting, and Audit teams to translate accounting policies into system-enforced controls within NetSuite Act as the primary point of contact for Finance teams including Accounting, Tax, Treasury and RevOps Ensure compliance with SOX, GAAP, and audit requirements through configuration of role-based security, approvals, reconciliations, and audit trails Optimize financial close processes (journals, reconciliations, accruals, consolidations) to reduce close cycle time Build and enh

About the Team At DoorDash we’re building the industry’s most scalable and reliable delivery network to support our three-sided marketplace of consumers, merchants, and Dashers. DoorDash Labs is an independent team within DoorDash pioneering new delivery modalities including Air, our drone delivery program. If you have a passion for applying autonomous aviation technologies in a service used by millions of people, then we want to talk to you! About the Role Our team is looking for a Staff Security Engineer who will act as the primary security partner to DoorDash Labs - Air, our drone delivery program. This role owns the security strategy for our fleet of drones, ground infrastructure, and the software and networks that connect them. We’re looking for a highly technical, hands-on security engineer with deep experience securing IoT or robotic platforms, who can work independently and coordinate across engineering, hardware, and operations teams to drive security objectives and validation. This role is based in the San Francisco Bay Area, with the expectation of coming into the office once a week, and periodic travel to test and production sites. You’re excited about this opportunity because you will… Own and drive the security strategy for drone delivery including drone authentication systems, ensuring only trusted drones and operators can access DoorDash Labs - Air systems and networks. Secure the physical and software layers of our drones and drone infrastructure, from firmware and onboard software to the physical hardware itself. Secure the physical and software layers of our nests (drone docking and charging infrastructure) and related ground infrastructure. Design and implement secure networking architecture across drone, nest, and ground systems. Review RFCs and design documents for new Air features and infrastructure, providing security guidance early in the development lifecycle. Visit test or production sites at least once a quarter to assess security control

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge We are looking for a Staff level SDET to support our product development teams. As the Staff SDET, you will play a crucial role in shaping and leading our software testing strategy. You will be responsible for designing, developing, and implementing robust test automation frameworks, mentoring a team of SDETs (Software Development Engineer in Test), and ensuring the overall quality and reliability of our software products. Your Mission Provide technical leadership and guidance to the SDET team. Collaborate with development and QE (Quality Engineering) teams to integrate testing into the software development process. Design, develop, and maintain scalable and efficient test automation frameworks and test architectures. Rub shoulders with developers in writing unit and integration tests using their tools and frameworks. Ensure the frameworks support various testing types, including functional, integration, and performance testing. Mentor and guide junior SDETs, providing technical expertise and career development support. Conduct training sessions to enhance the skills of the testing team. Foster a culture

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge We're looking for a Staff Software Engineer to help lead technical direction in support of D eveloper E xperience at OneTrust. Staff Engineers determine their own approach on complex, often ambiguous assignments, and their technical judgment is trusted well beyond their immediate team. Your Mission Technical Leadership & Architecture Lead design and architecture for major features or components, ensuring alignment with the broader system architecture. Independ ently d etermine approach and methods on complex, ambiguous assignments without an established playbook. Cross-Team Collaboration Partner with other engineering teams, and architecture to shape solutions before implementation begins. Build working relationships and technical credibility beyond your immediate team. Quality & Standards Establish and champion engineering best practices adopted by your team and beyond. Maintain a strong focus on customer outcomes Mentorship Mentor Senior and mid-level engineers, helping them grow their techni

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Summary Department Introduction The OCT Material & Filtration Engineering team supports Micron’s global manufacturing network. The team focuses on material quality, risk reduction, and continuous improvement to enable successful technology ramps and sustainable manufacturing performance. We collaborate closely with engineering, quality, procurement, and operations partners around the world. Position Overview As an OCT MTE Material Engineering Staff/Principal Engineer, you will contribute to material quality, filtration strategy, and value‑engineering efforts across multiple sites. In this role, you will help shape global material strategies, strengthen risk controls, and share guidelines that improve safety, quality, speed, and cost. This position offers opportunities to grow technical influence while making a meaningful impact on technology development and high‑volume manufacturing. Responsibilities Support and lead material quality, filtration, risk mitigation, and value‑engineering initiatives across the global network. Partner with global and site teams to define and align material technical requirements and qualifications. Develop, share, and sustain Best Known Methods (BKMs) across manufacturing sites. Collaborate with fabs to build and complete material roadmaps that support technology ramps. Facilitate global peer teams to align priorities, strategies, and execution to manufacturing goals. Plan and manage projects aligned to fab, central, and

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. ABOUT THE TEAM + ROLE We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The AI Platform & Agentic Apps team builds the agent platform behind every AI agent at Robinhood. Today it gives a growing number of engineers and employees an AI teammate that ships code, queries data, and runs operational workflows on their behalf. We're building toward the same platform powering the agents millions of customers interact with directly, in real time. These agents don't just answer questions — they're designed to take real action across carefully curated meta harnesses. This is agentic AI at real scale, in a regulated financial environment, and it will change how Robinhood works! As a Staff Machine Learning Engineer on the AI Platform & Agentic Apps team, you will design and build the harness that every agent at Robinhood runs on. A critical part of the role is making those agents trustworthy at scale: trajectory-level evals that measure how an agent reasons and acts, and action guardrails — permission models, approval gates, and sandboxing — built as platform primitives that other teams adopt. You'll be a technical anchor on a growing, high-caliber team, collaborating with product, infrastructure, and fellow ML engineers to take ambitious ideas from

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. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate, and advance faster than ever. Global EHS & Sustainability is building a future-ready operating model founded on Trusted Data, AI Enablement, and Decision Intelligence. As the Staff Specialist, EHSS Data , you will serve as the technical specialist for the EHSS data domain. You will partner with EHSS SMEs, SMAI, and IT to shape trusted data products, data models, and technical specifications that support reporting, analytics, AI, and operational decision-making. You will provide the technical expertise needed to ensure EHSS data is reliable, reusable, well-governed, and aligned with approved business definitions and enterprise data practices. Key Responsibilities Build the EHSS Trusted Data Foundation Design and maintain EHSS data models, source-to-target mappings, transformation logic, and technical data specifications. Translate approved business definitions and rules into reusable, analytics-ready data structures and datasets. Define and maintain data-quality controls, validation rules, reconciliation processes, and techni

Zoox is looking for an AWS Cloud Security Engineer to lead the design and implementation of secure, scalable, and software-defined infrastructure in our AWS cloud environment. This role is responsible for establishing best-in-class security practices across AWS, driving automation-first infrastructure security, and partnering with engineering and platform teams to embed security into every layer of our technology stack. You’ll act as a security champion, ensuring that infrastructure designs meet the highest standards of confidentiality, integrity, and availability — while maintaining operational efficiency and scalability through Infrastructure as Code (IaC). In this role, you will: Define and own the multi-year security architecture and roadmap for Zoox's robots and fleet, spanning embedded/firmware, in-vehicle networks, cloud, and supporting infrastructure. Partner with hardware, firmware, autonomy, and infrastructure engineering teams to embed security requirements into system design from the ground up, rather than bolting them on after the fact. Lead threat modeling and architecture reviews for new vehicle platforms and major feature launches, identifying and prioritizing systemic risk across the fleet. Set technical standards and guardrails - secure boot, key management, network segmentation, update/OTA security, and more - and drive their adoption across engineering teams. Represent Product Security in cross-functional and leadership discussions, translating technical risk into business and safety impact for the organization. Qualifications 10+ years of experience in security engineering, including significant time in an architect, staff, or technical lead capacity. Deep expertise in embedded/IoT security, including secure boot, TPM/TEE, cryptographic key management, and hardened firmware/OS design. Demonstrated experience architecting security for complex, physical/cyber-physical sys