Research Communications Manager Jobs

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. Use pioneering defect detection equipment and processes to fix and solve issues. Accelerate cycles of learning and technology transfer in Technology Development. Use defect detection equipment applications and data analysis skills to identify and solve process issues. Collaborate with engineers in process integration, process development, data science, and yield analysis within and outside Technology Development. Responsible to support experimentation, data analysis, baseline health metrics, and systematic and random defect improvement through partnering with others in Research and Development and High-Volume Manufacturing. Working on critical line issues and presenting findings to peers and senior management on a daily to weekly basis. Employer will accept a Bachelor’s degree in Electrical Engineering, Chemical Engineering, Materials Science & Engineering, or related field and 24 months of experience in the job offered or in a related occupation. Position requires: 1. Process anomalies, root cause analysis, data manipulation, and correlations; 2. Data Science and Data Manipulation (scripting, coding, or programming); 3. Semiconductor fabrication techniques; 4. Metrology or inspection (SEM, X-ray, Laser or Optical Systems); 5. Statistical process control (SPC), and Design of Experiments (DOE); 6. Process Development for identifying and resolving defect integration issues; and 7. Data analysis using Klarity, Yield3, jmp, eBeam Inspection methods, defect reduction analysis and ADC Modeling t

We are seeking an experienced IT/Lab Manager to lead the planning, deployment, and operations of our physical lab environment and IT systems. This role will focus on building and maintaining scalable, reliable, and secure environments to support engineering teams involved in research, quality assurance, validation, and related activities. It will also support internal collaborators. You will have an outstanding opportunity to drive innovation in a multidimensional, technology-focused company that is crafting the future of data-center and lab technologies. If you bring perfection and creative thinking while solving issues as they arise, and enjoy working with distributed teams – your place is with us! What You’ll Be Doing: Own day-to-day operations, planning, and roadmap for the engineering lab and IT infrastructure (servers, storage, networking, and related services). Lead and mentor an IT/Lab team, driving guidelines, standards, and a culture of ownership, partnership, and continuous improvement. Collaborate closely with R&D, QE, Verification, and other engineering teams to design, provision, and maintain environments that meet their performance, reliability, and security needs. Lead all aspects of running data center and lab operations, including rack layout, cabling, power and cooling, hardware lifecycle, and resource availability. Lead procurement and vendor management for hardware, software, and services, including evaluation, negotiation, and ongoing relationship management. Implement and maintain automation for system provisioning, configuration, and operations using tools such as shell/Perl/Ansible. Design and maintain monitoring, logging, and alerting for servers, network, and storage systems to ensure high availability and rapid incident response. Investigate and resolve sophisticated infrastructure issues across OS, networking, storage, virtualization, and appli

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. Micron’s IT organization seeks a Principal Architect to lead our AI Strategy and Emerging Systems efforts. In this strategic role, you will research, investigate, track, and evaluate innovative AI capabilities. These include generative LLMs, agentic systems, and multimodal AI. You will rapidly prototype proof-of-concepts and translate innovations into clear business opportunities supported by accurate risk controls. You will partner with AI Enablement, IT, and business teams to ensure our AI roadmap stays on the forefront while upholding Micron’s values and governance standards. Responsibilities: Discover, track, and assess emerging AI capabilities and trends: (GenAI, agentic systems, multimodal, retrieval, model customization, inference optimization, governance tooling, and security patterns), translating developments into relevance for Micron’s business and technology landscape. Architect AI Solutions & Platforms: Define and evolve enterprise AI architecture patterns (cloud/hybrid, data pipelines, MLOps) for large-scale generative AI and modeling workloads. Design AI system integrations (LLMs, RAG, agents) with Micron’s Microsoft 365 and cloud platforms. Innovate and Prototype: Lead rapid experimentation by building AI proof-of-concepts (e.g. chatbots, predictive analytics, AI assistants). Validate feasibility, performance, and cost; recommend scale-up or pivot decisions based on results.

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

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. Staff Software Engineer, Device Identity (Java) Device Identity and Access Organization The Device Identity and Access organization is at the forefront of Okta’s Zero Trust vision. As a foundational pillar within Okta Research and Development (ORD), our mission is to transform the device itself into a secure, trusted, and effortless identity factor. We are the teams responsible for ensuring users can seamlessly interact with their work from any endpoint, anywhere in the world. We engineer the end-to-end device experience—from our flagship FastPass , Okta Device Access (ODA), and Device Assurance . Our teams own the continuous authentication pipeline, device lifecycle management, and the sophisticated cloud services that analyze real-time trust and assurance signals to make frictionless, passwordless access a reality across Windows, macOS, iOS, Linux and Android. Our organization is comprised of engineers who thrive at the intersection of deep client-side platform engineering and massive-scale distributed systems. The work we do secures millions of enterprise endpoints globally, prevents modern identity attacks, and fundamentally changes how people work by making world-class security completely invisible to the end user. Explore our culture and technical innovations on the Okta Engineering Blog . The Staff Software Engineer Opportunity We seek a dynamic and influential Staff Software Engineer to join our Device Identity engineering team. The ideal candidate

About Us InStride Health’s mission is to deliver specialty anxiety and OCD care that works for every kid, teen, young adult, and family who needs it. Through this mission, we are expanding access to insurance-based care, increasing engagement in treatment, and improving treatment outcomes. We are doing this by combining research-backed clinical care and innovative technology to eliminate the major problems with care today: difficulty finding providers, months of waiting to be seen, arduous onboarding processes, and inconsistent use of evidence-based therapies and outcomes tracking. Our vision is to become the nation’s most trusted provider of pediatric anxiety and OCD care. Team InStride Health: Our Core Values Give Heart : We lead with heart, treating patients and their families the way we want our loved ones to be treated. Work Smart : We find smarter ways to solve hard problems and fix the broken mental health system by leveraging technology, diversity of thought, and innovation. Have Humility : We leave our egos at the door, empowering our team to collaborate, celebrate diversity, and adopt a growth mindset. Embrace Community: We all belong. We are in this together, and we never worry alone. We believe in each other and recognize that every voice matters. About the Role InStride Health is seeking a Coach Manager to lead and develop a team of coaches delivering high-quality, evidence-based support to our patients and families. Reporting directly to the Senior Director of Coaching, you will provide day-to-day people leadership, performance management, and operational oversight for your team while serving as an important connection point between coaches and the broader Coaching Department. In this role, you will foster a high-performing, growth-oriented team while ensuring consistent care quality, team performance, and effective day-to-day operations. You will partner closely with clinical and operational leaders to support care delivery, address team and pat

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 This role sits at the applied end of our post-training research efforts. You will work directly with stakeholders from the world’s fastest-growing AI companies to post-train open-source models that outperform frontier closed models on their specialised tasks. Your day-to-day is finding creative ways to extract signal from complex, domain-specific datasets and building the reward functions, environments, eval harnesses, and training pipelines that turn that signal into better models. The models you train ship to production and reach millions of users. We are looking for people with hands-on LLM fine-tuning and RL experience. Researchers who are excited by the prospect of shipping models into production, who can translate a customer's domain-specific requirements into an effective training curriculum, and who know when to be rigorous and when to iterate fast. RECENT RESEARCH Dense, on-policy or both? Repeated kv cache for long-running agents Distillation without the dark – replicating black-box on-policy distillation on Baseten RESPONSIBILITIES Design and run post-training pipelines: SFT, GRPO, DPO, RLVR, reward function engineering, and synthetic data generation. Build task-specific training environments and evals tailored to customer domains like healthcare, code generation, and legal, spanning multi-turn tool use, sandboxed execution, and agentic workflows. Work directly with customers to translate production d

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 We're looking for an Engineering Manager to lead part of our Inference Performance team. This team makes the world's most demanding AI workloads run faster and more efficiently on GPUs. You'll manage and grow a team of inference performance engineers working across the inference engine and runtime: kernels, scheduling, batching, KV-cache management, speculative decoding and prefill/decode disaggregation. This is a hands-on technical leadership role. You'll set direction, unblock hard problems and earn the team's trust by going deep on GPU performance, while also hiring, developing and supporting the people doing the work. Your team's output directly affects how fast our customers' models run and how efficiently we serve them. The team is scaling quickly, so you'll help shape how it is structured as it grows. EXAMPLE INITIATIVES Your team will work on these types of projects as part of our Inference Runtime team: Agentic inference optimization: 50-90% faster engines Agentic Kernels in Production Live draft model training for speculative decoding The Baseten Inference Stack RESPONSIBILITIES Lead, mentor and grow a team of inference performance engineers through regular 1:1s, clear feedback, career development and performance reviews. Hire top GPU and inference engineering talent, and build a strong, collaborative team culture as the runtime team scales. Own the technical roadmap and execution for runtime performan

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 We're hiring a Revenue Analyst to scale the data foundation behind Baseten's revenue and usage reporting. This role sits between Finance and Revenue Operations. You'll connect contract terms, pricing and CPQ data, product usage, metering, billing and invoices into one accurate view of customer revenue. Working with Finance Systems, you'll turn new pricing and contract structures into durable data models and dashboards that Finance and Revenue Operations can trust. EXAMPLE INITIATIVES Take a look at these recent posts on the products and growth this role will help us measure: Announcing our Series F Announcing our partnership with OpenAI Introducing Baseten Hosted Tools Blaxel is joining Baseten to build the future of agentic infrastructure RESPONSIBILITIES Build and maintain production-grade dbt models and dashboards that connect Salesforce and CPQ, contracts, Orb and product usage data. Create canonical marts for customers, products, contract terms, subscriptions, commitments, credits, billable usage and invoices. Reconcile metered product usage to billed revenue, invoice line items and contract terms, and investigate gaps before they affect customers or financial reporting. Partner with Finance and Revenue Operations to define and govern metrics for bookings, contracted commitments, consumption, billed revenue, ARR, NDR and expansion. Support monthly close, revenue forecasting and operating reviews with varian

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 We're hiring a Product Data Scientist to set up how Baseten uses data to make product decisions. Product is a new function at Baseten, and you'll be one of the people who defines it. You'll work directly with our founders, Product, and Engineering, and alongside GTM, to decide what we measure, how we run experiments, and how the results shape strategy. This is a foundational, hands-on role. You'll define what success looks like on a technical, usage-based platform, and you'll turn open-ended questions into analyses, forecasts, and experiments. You'll work with everything from clickstream and product events to inference telemetry and observability data, helping Baseten make faster calls on reliability, performance, adoption, and developer experience. EXAMPLE INITIATIVES Take a look at these blog posts that show the kinds of systems and data you'll work with: How leading platforms ensure observability for LLM inference How the Baseten Delivery Network (BDN) makes cold starts fast How we built RBAC that scales for the enterprise RESPONSIBILITIES Partner with Product and Engineering to frame the questions that matter, define success criteria, and turn analysis into roadmap, launch, and prioritization decisions. Define product success metrics across activation, adoption, retention, expansion, reliability, and user experience. Design measurement plans for launches, analyze A/B experiments and controlled rollouts, and

Zoox is on a mission to reimagine transportation and build autonomous robotaxis from the ground up that are safe, reliable, clean, and enjoyable for everyone. With bidirectional driving capabilities and four-wheel steering, our vehicle allows us to maneuver through compact spaces and change directions without needing to reverse. We are at a critical inflection point as we scale our robotaxi deployment, and it is a great time to join Zoox and have a significant impact on executing our mission. Our growing ML performance engineering leadership team is looking for an Engineering Manager, ML Performance Optimization. The centralized ML performance team at Zoox plays a crucial role in enabling innovations across all our ML research teams to develop and deploy models across our robotaxi and cloud infrastructure and to advance cutting-edge training and inference optimization techniques. The Opportunity We are working on many interesting challenges to enable rapid experimentation and scale our multi-modal Foundation models and RL infrastructure, and ensure these models run efficiently on our vehicles, meeting our latency targets. You will get to work across all ML teams within Zoox - Perception, Prediction, Planner, Simulation and our Advanced Hardware Engineering group, and have the opportunity to significantly push the boundaries of ML scaling and acceleration at Zoox. You will lead a team of strong ML performance engineers and this team has many growth opportunities as we expand our geofences at U.S markets and venture into new ML domains. If you want to learn more about our ML Infrastructure, here is one of our past talks at re:Invent. In this role, you will: Leadership & Team Growth <span style="font-size: 11pt; font-family:

The Product Management team drives Asana’s product strategy and execution, translating customer needs and opportunities into a compelling roadmap and working cross-functionally to deliver impactful solutions for team productivity and collaboration. We’re helping to define the Work Management category and inventing new ways for teams to work more efficiently together and see the larger purpose behind their work. Our team works directly with Engineering, Design, Experience Research, and Data Science, as well as with Sales, Support, and Marketing to ship great products. You’ll take part in every type of product work here — from strategy to product to process improvements — conceptualizing, launching, and iterating on Asana itself for millions of teams around the world. We're looking for a Senior Product Manager to lead our Integrations Platform team and build the connective tissue between Asana and the broader tools, data systems, and developer ecosystem our customers rely on. On the Integrations Platform team, you’ll define the shared capabilities, architecture, and operating foundations that make integrations secure, reliable, and scalable, including integrations for AI teammates.You're a technical product leader who's genuinely comfortable in the weeds of API design, connectivity architecture, and backend systems, and who knows how to navigate the nuances of a platform partnership from technical scoping through go-to-market, working with technology partners. You thrive on cross-functional collaboration and are excited to partner with engineering, design, user research, product marketing, product leadership, and the rest of our PM team. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for

The Product Management team drives Asana’s product strategy and execution, translating customer needs and opportunities into a compelling roadmap and working cross-functionally to deliver impactful solutions for team productivity and collaboration. We’re helping to define the Work Management category and inventing new ways for teams to work more efficiently together and see the larger purpose behind their work. Our team works directly with Engineering, Design, Experience Research, and Data Science, as well as with Sales, Support, and Marketing to ship great products. You’ll take part in every type of product work here — from strategy to product to process improvements — conceptualizing, launching, and iterating on Asana itself for millions of teams around the world. We're looking for a Senior Product Manager to lead our Integrations Platform team and build the connective tissue between Asana and the broader tools, data systems, and developer ecosystem our customers rely on. On the Integrations Platform team, you’ll define the shared capabilities, architecture, and operating foundations that make integrations secure, reliable, and scalable, including integrations for AI teammates.You're a technical product leader who's genuinely comfortable in the weeds of API design, connectivity architecture, and backend systems, and who knows how to navigate the nuances of a platform partnership from technical scoping through go-to-market, working with technology partners. You thrive on cross-functional collaboration and are excited to partner with engineering, design, user research, product marketing, product leadership, and the rest of our PM team. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing

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 Solutions Architect at Baseten you will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnership with Sales and Engineering. RESPONSIBILITIES Partner with Sales on customer discovery calls (most often second calls, occasionally first calls for large accounts). Lead demos and technical scoping to align on success criteria, architecture, and deployment approach. Own benchmarking and repeatable deployments , including: Handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, Voice AI, etc. Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups. Driving consistent “playbook” style deployments for common models and use cases. Become a power user of different runtimes such as vLLM, SGLang, and TRT-LLM and all the common configurations and tradeoffs between them Drive POC and project execution , including: Scoping POCs and keeping stakeholders aligned on timeline, deliver