Environmental Engineer in United States

Job Details: Job Description: Logic Technology Development (LTD) is looking for an experienced individual interested in becoming a Process Integration and Yield Technician. As a Process Integration and Yield Technician, you will assist engineering with route creation, modification, and troubleshooting of the flow of material through our factory using in-house software. In this role your primary responsibilities may include (but are not limited to): Provide assistance to engineering in collecting and recording data during the development of next-generation technology. You will use database report analysis in order to assist with route modification and out-of-control material disposition. Helping with the execution of experiments during development. - You will Utilize a practical application of science, math, and engineering to a wide range of problems. Willing but not limited to work in a lab environment. In addition, the candidate must be willing to: Work in compressed work week schedule consisting of three twelve-hour days in a row with one additional day every other week. Lift 25 lbs. repeatedly while sometimes being on their feet for an extended period. Periodically gowning up to go into the factory to assist with wafer movement activities. A successful candidate should also exhibit the following behavioral traits: Effective communication skills and flexibility to work well in a diverse team environment, multitasking skills and the ability to adjust to rapidly changing priorities, critical thinking and analytical problem-solving skills and strong attention to detail, proactive mindset, able to work and think independently with little or no supervision. Qualifications: You must possess the below minimum qualifications to be initially considered for this position. Preferred qualificatio

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 is seeking motivated Process Technicians to support wafer manufacturing by monitoring operations, reviewing data, and working closely with engineering and production teams to enhance yield, quality, and efficiency. This role requires strong analytical thinking, attention to detail, and disciplined execution. Process Technicians must have the ability to recognize abnormal conditions and apply structured problem-solving to troubleshoot issues in a fast-paced manufacturing environment while adhering to established procedures. Ideal candidates are comfortable working with data, dashboards, and computer-based systems and are capable of extracting, analyzing, and interpreting trends and clearly communicating insights. Success depends on effective communication, strong organization and time management skills, the ability to work independently, and flexibility with responsibilities and shift schedules. As part of a fabrication team driving innovation for a global leader in memory and storage solutions, Process Technicians directly support manufacturing excellence while demonstrating reliability, engagement, and a growth mindset aligned with Micron’s core values: People, Innovation, Tenacity, Collaboration, and Customer Focus. Responsibilities: • Manage semiconductor equipment, perform technical evaluations, and partner with cross functional teams to monitor, stabilize, and improve wafer fabrication processes. • Work with engineering teams to enhance workstations and apply structured troubleshooting and escalati

About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. Within Safety Systems, the Model Policy team works to ensure that frontier models behave safely and reliably in real-world environments by designing policies that define safe model behavior. Some of our publications include: Safety at every step OpenAI GPT6 System Card OpenAI Model Spec About the Role We’re hiring a Model Policy Manager to shape model behavior for U.S. government use, with a focus on national security applications. You’ll define nuanced policies and translate them into training and evaluation criteria, helping models navigate high-stakes scenarios while preserving their usefulness and capabilities. In this role, you will: Develop model policies that guide safe and useful behavior. Build evaluations, identify policy gaps and model failures, and use findings to improve policies and training. Work with research, engineering, and domain experts to support safe, reliable deployment. You might thrive in this role if you: Bring relevant experience in AI safety, policy, or risk assessment. Have strong judgment and can turn complex safety questions into clear, practical policies. Have the technical fluency to work hands-on with model data and evaluations. Are motivated by OpenAI’s mission and the responsible use of

About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. Within Safety Systems, the Model Policy team works to ensure that frontier models behave safely and reliably in real-world environments by designing policies that define safe model behavior. Our relevant publications include: Safety at every step OpenAI GPT6 System Card OpenAI Model Spec GPT-Live ChatGPT Images 2.5 About the Role We are hiring a Model Policy Manager to focus on the safety of multimodal models. In this role, you will shape how OpenAI identifies, evaluates, and addresses risks in multimodal AI models - such as GPT-Live and ChatGPT Images - as well as multimodal capabilities in frontier AI models. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and maintain model policies for audio, image, video, and omni-modal behavior. Translate theories of harm and threat models into behavioral safety policies, evaluation criteria, grading guidance, and safeguards. Identify and analyze safety regressions and failure patterns to identify gaps in existing policies and inform policy iteration. Develop policy artifacts that support model training, evaluation, and deployment, including behavior i

Senior Product Manager, Robotics & Autonomy What we're doing isn't easy, but nothing worth doing ever is. At Diligent Robotics, we envision a future powered by robots that work seamlessly with human teams. We build artificial intelligence that enables service robots to collaborate with people and adapt to dynamic human environments. Our robots operate every day in hospitals, helping healthcare staff spend less time on routine work and more time caring for patients. Operating a real-world fleet gives us something few robotics companies have: continuous customer feedback and operational data that directly shapes the next generation of Physical AI. We're looking for a Senior Product Manager, Robotics & Autonomy to define and execute the product strategy for some of the most critical capabilities in our robotics platform. You'll work at the intersection of robotics, autonomy, AI, and software engineering to translate business priorities, customer needs, and technical opportunities into a clear product roadmap that drives measurable outcomes. This role is ideal for someone who understands complex autonomous systems and enjoys working alongside world-class engineers to bring ambitious technology from concept into production. Responsibilities Own the product strategy and roadmap for key Robotics and Autonomy initiatives, balancing customer impact, technical feasibility, and long-term platform investments. Define product requirements for autonomy, navigation, perception, fleet intelligence, simulation, and robotics platform capabilities. Partner closely with Engineering, AI, Robotics, Customer Success, Operations, and Leadership to align priorities across the organization. Translate customer feedback, fleet telemetry, and operational insights into product decisions that improve robot performance, reliability, and user experience. Prioritize investments using data, customer value, technical complexity, and business impact. Drive cross-functional execution from concep

About the Role OpenAI’s Industrial Compute organization is responsible for ensuring our compute infrastructure scales efficiently to support millions of users and increasingly sophisticated AI models. We’re looking for a Data Scientist to partner closely with Capacity Systems Engineering, Infrastructure, Product, and Research to optimize inference capacity across our global GPU fleet. This role combines statistical modeling, large-scale data analysis, forecasting, and systems thinking to drive critical decisions around infrastructure investments, performance-efficiency trade-offs, and customer experience. You’ll transform complex operational data into actionable insights that directly influence how OpenAI allocates and scales one of the world’s largest AI compute environments. Key Responsibilities Build statistical and machine learning models to profile and improve GPU utilization, latency, throughput, and overall fleet efficiency. Develop forecasting models for inference demand across products, regions, and model families. Analyze production workloads to identify latency bottlenecks and capacity constraints, highlighting optimization opportunities. Partner with Capacity Systems Engineering to inform infrastructure planning and long-term GPU investment strategies. Design experiments and simulations to evaluate scheduling policies, serving strategies, and infrastructure tradeoffs. Build dashboards and operational metrics that enable leadership to make data-driven capacity decisions. Collaborate with Product, Research, Finance, and Infrastructure teams to align compute planning with business growth and model roadmaps. Communicate technical findings clearly to both engineering teams and executive leadership. Qualifications MS or PhD in Statistics, Computer Science, Operations Research, Applied Mathematics, Economics, or related quantitative discipline (or equivalent industry experience). 5+ years of experience working in the infrastructure data science space. Strong ex

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. Build the operational and technical skill set that runs global trade At Flexport, we believe global trade can move the human race forward. We're shaping the future of a $10T industry with technology and people who understand it end to end. The Rotational Development Program (RDP) exists because that combination — real supply chain fluency plus the ability to build and automate — doesn't exist at scale in the market today. So we're building it ourselves. This is an 18-month program, not a rotation for rotation's sake. Every assignment is live, revenue-generating work. Every participant leaves with a certification in AI and low-code tooling running alongside their operational and commercial training. And every graduate places into a role with real scope: primarily Account Management, with paths into Automation Engineering, Forward Deployed Engineering/Consulting, Sales Engineering, or a traditional Ops/Sales/Customs track. What you'll do You'll rotate through three functions, six months each, with AI/low-code curriculum running continuously across all three: Gateway Ops (Air or Ocean). Own the shipment lifecycle. Execute bookings, manage exceptions, and hold data int

About the Team OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. The Systems Integration team is critical in this mission, turning complex hardware-software development into reliable product signals. Lab Operations is the physical backbone of that work: we build and maintain the device fleets, test environments, and hardware-in-the-loop labs that let teams test repeatably, understand failures, and ship with confidence. About the Role As a Lab Operations Manager, Systems Integration , you will own the day-to-day operation of a large-scale consumer device test lab. This is a hands-on operations leadership role: you’ll keep device fleets, test rigs, lab infrastructure, inventory, provisioning, maintenance, and logistics running smoothly so engineers and QA technicians have reliable environments for validation and release testing. We’re looking for someone who is highly organized, technically hands-on, comfortable with consumer electronics and lab equipment, and experienced operating complex physical test environments at scale. Because this is a new category of devices, you’ll have the opportunity to build the lab operating model early—shaping the systems, standards, and workflows that support products from prototype through launch. In this role, you will: Own device fleet and inventory: Manage configuration, deployment, tracking, lifecycle, and accurate asset records for a large fleet of consumer devices and test

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The Opportunity Flexport is investing heavily in the next generation of fulfillment—and we’re looking for a Staff Program Manager, Strategic Initiatives who wants to be at the center of that transformation. This is not a traditional program management role. You will be the architect and hands-on builder of tomorrow’s Flexport Fulfillment network: deploying automation, designing processes, building decision tools, and creating the operational standards that define how we scale. You will own initiatives from whiteboard to go-live—and you will own the business case and ROI that justifies every dollar we invest. That means getting into the weeds on automation system design (ASRS, robotics, goods-to-person), building the financial models to size the opportunity, driving implementation on the floor, and tracking realized returns post-launch. You are accountable for the full lifecycle. You’ll sit at the intersection of operations, product, engineering, and technology—working across all functions to identify gaps, design solutions, and bring them to life. We want someone who thrives in ambiguity, loves solving highly technical problems, and isn’t afraid to get hands-on—whe

About the Team The Compute Strategy team works across research, engineering, product, finance, legal, and go-to-market teams to develop the partnerships, infrastructure capacity, and commercial models needed to advance AI infrastructure. About the Role As a member of the Compute Strategy team, you will develop commercial strategies for AI infrastructure partnerships and offerings. You’ll translate technical infrastructure opportunities into partnerships, transactions, and revenue. We’re looking for a commercially minded strategist who combines knowledge of semiconductors and AI infrastructure with strong financial judgment and the ability to execute complex partnerships. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Develop strategies for compute partnerships, vendor access, and infrastructure capacity. Structure and execute transactions with chipmakers, compute providers, and other infrastructure partners. Develop pricing frameworks and business cases for infrastructure-related partnerships. Evaluate partner technologies, strategic fit, commercial terms, and execution risks. Coordinate work across research, engineering, product, finance, legal, and go-to-market teams. Turn partnership learnings into repeatable operating models that can scale. You might thrive in this role if you: Have experience in strategy, corporate development, partnerships, or infrastructure transactions. Understand semiconductors and AI infrastructure. Can evaluate complex technical and commercial opportunities. Bring strong financial, analytical, and strategic judgment. Can influence and align technical and business stakeholders. Have negotiated or executed complex partnerships. Are comfortable operating in a fast-paced environment. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence ben

About Team Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems 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 physical constraints of real-world systems to improve people’s lives. About the Role We are looking for a TPM to drive development and integration of a range of sensor systems for robotics. This role will drive cross-functional alignment across requirements, engineering design, integration, validation, manufacturing, supply chain, and release processes, helping turn complex sensor-system needs into clear plans, decisions, and milestones. Location and in-person expectations: This role is based in San Francisco, CA and requires in-person presence 4 days a week. In this role you will: Drive requirements alignment across engineering design, integration, testing, and validation for camera modules, LiDAR, IMUs, RADAR, proximity sensors, audio components and the systems they interact with. Coordinate the integration of modules including electrical, mechanical, harnessing, and software interfaces with the full robotic system with deep understanding of timelines to drive the respective PCBAs, enclosures, build and test fixtures, connectors and cables. Establish effective cadences for technical reviews, BOM readiness, change management, production releases, approvals, and decision tracking. Align harnesses, fasteners, assembly fixtures, test fixtures, and documentation so cross-functional teams can execute against a clear plan. Lead validation planning around functional, reliability, NVH failure modes, including testing needs, schedules, and exit criteria. Partner with manufacturing and supply chain to manage handoffs, lead times, dependencies, and production readiness. Drive tradeoff decisions across cost, qua

As the Salesforce Administrator at Coder, you’ll help keep our Salesforce environment reliable, efficient, and ready to support the business. You will help keep our Salesforce environment running cleanly and efficiently, and you'll work closely with Finance and our Sales Ops Salesforce Admin. The work spans day-to-day administration, Flow builds, and DealHub CPQ support — with occasional AI-assisted development tasks mixed in. You'll be working alongside someone who knows the environment well, so the expectation is that you can plug in quickly and operate with minimal hand-holding. What you’ll do here Own day-to-day Salesforce administration including user management, configuration, and data integrity Design, implement, and troubleshoot Automations using Salesforce Flow Configure and support DealHub CPQ including pricing rules, quote templates, and related requests Build and maintain reports and dashboards, with a focus on pipeline and revenue visibility for Finance Partner cross functionally on projects, sandbox management, and incoming support work Assist with Apex AI-assisted development tasks as needed Support data quality efforts including deduplication and cleanup as needed Manage end to end implementation of Salesforce including Okta provisioning, sales tools, and CPQ Own data governance across Salesforce by enforcing data quality standards, managing field-level security and access, and building validation rules that catch bad data at entry. You'll audit integrity regularly and partner with RevOps and Engineering to keep CRM data trustworthy Lead technical delivery of system improvements: scoping, building, testing, and deploying changes end-to-end Manage Salesforce releases, sandbox environments, and deployment processes Develop and maintain Salesforce customizations using Apex, Visualforce, and Lightning Web Components Own integrations between Salesforce and connected systems including architecture, build, testing, and maintenance Perform unit testing, trou

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role As a Solutions Consultant, Public Sector at Ramp, you’ll serve as the primary technical and financial advisor for government agencies, educational institutions, and nonprofits evaluating Ramp. You will guide prospective customers through technical discovery, design tailored solutions that align with compliance and security requirements, and deliver compelling demos that highlight Ramp’s ability to modernize financial workflows. Partnering closely with Sales, Product, Engineering, and Compliance, you’ll act as the bridge between complex customer needs and Ramp’s platform capabilities. Your role is equal parts storyteller, architect, and trusted advisor—helping public sector organizations unlock efficiencies while navigating procurement, compliance, and multi-stakeholder environments. What You'll Do Lead Technical Discovery & Demos : Conduct deep technical and workflow discovery with public sector prospects; deliver customized demos showcasing Ramp’s value for finance, procurement, and compliance teams. Design Public Sector Solution

What you’ll do Execute weekly system-level exploratory testing across the scanner and supporting software; log and triage issues with clear reproduction steps. Work with engineering to debug root cause and validate fixes. Help maintain the DHF and traceability between user needs, design requirements, tests, and results. Own practical test execution logistics (fixtures, test data, environments, calibration artifacts) and keep things repeatable. Help build the continuous testing strategy: automated tests where feasible, plus structured manual and system tests. Support V&V activities, including coordination with external partners as needed. What we’re looking for Strong hands-on testing instincts for complex electromechanical systems with substantial software. Ability to write clear bug reports and communicate risk/impact. Experience building and maintaining test plans/protocols; comfort operating lab equipment and debugging across layers. Useful experience Experience testing complex systems end-to-end (automation where it pays off, plus hands-on hardware/instrumentation). Medical device or other safety-critical environments and comfort translating risk into practical test coverage.

As a Research Scientist on our team, you will partner with Research Engineers, working on fundamental research problems and collaborating with Datadog's product and engineering teams to translate research advances into products. Building on our track record of AI-powered solutions (e.g., Bits AI , Bits Evolve , and our time series foundation model ), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security. We are focused on two research areas: World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents. Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost. What You'll Do: Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability Train multimodal models on large-scale, diverse telemetry data (metrics, logs, traces, topology, events) using distributed training infrastructure Design and build simulated environments and RL training loops for on-policy agent training and evaluation Collaborate with cross-functional teams (Product, Engineering) to integrate capabilities like multimodal world modeling and autonomous agents into Datadog's products Stay at the forefront of foundation models, world models, and RL-based agent research Contribute to r