Production Scheduler Enhancement Engineer Jobs

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. We are looking for an engineer with strong experience in machine learning and solid foundations in math and computer science to join our growing Post-Training team at Baseten. THE ROLE Custom models are instrumental to the success of Baseten customers. By inference volume, the overwhelming majority of traffic at Baseten is to and from models that have been post-trained in some way, whether that be through reinforcement learning, supervised finetuning, a recent technique from the literature, or an in-house research technique from Baseten. The Post-Training team is responsible for the success of our customers’ post-trained models, and we employ a wide array of techniques to produce models that are more efficient and higher quality than even the biggest closed source models for the customer’s specific needs. Your role as a research engineer is to build the in-house tooling to support all of this. We care about training a wide spectrum of different model architectures with a variety of techniques efficiently and at scale. At times this involves zooming deep into a particular technical topic, but more often it involves working across the stack as a whole - systems-level concepts like Kubernetes, cgroups, storage systems, and networking topologies, as well as PyTorch distributed tensor computation, and GPU kernels. The Manifesto: https://labs.baseten.co/manifesto RECENT RESEARCH Dense, on-policy or both? Repeated kv cache for

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role We are looking for a Hardware Test Engineer to build the test infrastructure that ensures our AI-powered devices meet quality, reliability, and performance standards at every stage of development. You will own test strategy from board bring-up through mass production, designing fixtures, writing automation scripts, and defining the criteria that decide whether a product ships. From functional test on the bench to burn-in and stress testing at the factory, you will be the last line of defense before our devices reach users. Responsibilities Test Strategy: Define and own the end-to-end test plan across EVT, DVT, PVT, and production milestones. Fixture Design: Design and develop custom test fixtures (bed-of-nails, pogo pin, cable harness) for PCBA and system-level testing. Test Automation: Write automated test scripts in Python to control instruments, collect data, and generate pass/fail reports. Board Bring-Up: Lead electrical bring-up of new PCBAs, debugging power rails, clocks, interfaces, and peripheral functionality. Reliability Testing: Plan and execute environmental stress tests including thermal cycling, vibration, drop, and accelerated life testing. Production Support: Work with contract manufacturers to deploy and maintain test sta

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role You'll build the backend systems that make Hark's AI agent actually work — reliable, fast, and production-grade. That means the hard infrastructure problems: high-concurrency services, low-latency streaming, state management for long-running agent workflows, and the execution layer that connects model outputs to real-world actions. You are building the nervous system of an agentic product. This is a high-ownership role on a small team. You'll work directly with model researchers and platform engineers, and the systems you build will determine whether Hark feels like a slow chatbot or something genuinely new. Responsibilities Core Runtime Architecture: Design and build the high-concurrency backend services responsible for agent orchestration, tool execution, and real-time streaming. Systems Reliability: Develop robust failure-handling, retry logic, and state management for long-running agentic workflows. Platform Primitives: Architect the foundational APIs and services—including memory retrieval systems and sandboxed execution environments—that power the entire Hark ecosystem. Performance Engineering: Optimize the stack for low-latency streaming and high-throughput data processing to ensure seamless agent-user interactions. Full-Cycle Owne

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. As a High Bandwidth Memory Test Engineer at Micron, you will develop, debug, and maintain code that enables the parallel testing of advanced memory devices. Micron Test Engineers support R&D, interacting closely with global teams, as well as taking part in the designing and debugging of test hardware. In this position, you will constantly learn new device specifications and operations in order to develop efficient and innovative solutions of production test flows thru test algo optimization. Additionally, you will take responsibility to gain a firm understanding of the functionality of advanced memory devices as defined in product data sheets. RESPONSIBILITIES AND TASKS: Independency of development of new tests and test algorithms for HBM, which covers test software and hardware requirements, defect coverage, characterization, trending, process flow, and test times. Experienced on test programs development for products using primarily Python and C coding on automated test equipment in the given area followed by test program release to manufacturing area. Be a lead to new product introduction (NPI) as well as pre/post silicon tasks management. Develop test Automation solutions as electrical validation and qualification of new test equipment and tools. Independently debug and identify root causes on test issues and provide solutions across internal/external groups. Provide meaningful statistical data analysis, analytics and justification on program v

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. As a Shift Engineer, your duties will include: Partnering with IT support to solve issues currently affecting Micron production activities Proactively monitoring and driving performance of AMHS and equipment benchmarks, addressing any issues in a timely manner to achieve Fab quality, cycle time, yield, and cost Scheduling and performing preventative maintenance on assigned tool sets, using mechanical, electronic, and PC/software skills to troubleshoot and repair equipment issues Assisting in AMHS/tool installation, relocation, and upgrades Supporting AMHS equipment and vendor on long-term down equipment and chronic process issues Improving tool uptime through quality workmanship, detailed problem solving, and troubleshooting Detailing all maintenance conducted in established check sheets and tracking programs, and regularly reviewing maintenance check sheets and procedures Keeping the Lead Engineer/Manager updated on all AMHS-related issues and long-term down status Following all safety and environmental procedures to ensure compliance with applicable regulations Actively participating in the EHSS program by reporting all EHSS-related concerns or problems immediately to the appropriate individual (ERT, Supervision, etc.) Being proactive in reducing incidents of personal injuries, safety hazards, or environmental relea

About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role As an Engineer on our hardware optimization and co-design team, you will co-design future hardware from different vendors for programmability and performance. You will work with our kernel, compiler and machine learning engineers to understand their unique needs related to ML techniques, algorithms, numerical approximations, programming expressivity, and compiler optimizations. You will evangelize these constraints with various vendors to develop and influence future hardware architectures towards efficient training and inference on our models. If you are excited about efficiently distributing a large language model across devices, dealing with and optimizing system-wide/rack-wide networking bottlenecks and eventually tailoring the compute pipe and memory hierarchy of the hardware platform, simulating workloads at different abstractions and working closely with our partners, this is the perfect opportunity! 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. Key Responsibilities Co-design future hardware for programmability and performance with our hardware vendors Assist hardware vendors in developing optimal kernels and add support for it in our compiler Develop performance estimates for critical kernels for different hardware configurations and drive decisions on compute core and memory h

Assistant Manager encompasses overseeing all aspects of mining operations, from planning and execution to resource management and quality control. Responsible for ensuring adherence to approved plans and safety protocols, the Manager directs drilling, blasting, and coal seam removal activities, guiding shift leaders to meet production targets. Collaborating closely with colliery engineers, they facilitate continuous improvement initiatives and preparatory works, while also managing equipment maintenance and contractor relations. The Manager plays a pivotal role in driving productivity, cost reduction, and safety enhancement measures, ensuring compliance with regulatory guidelines and DGMS standards. Source: Adani Group | Job ID: 48444

Come join the Server Ingress Security team, where we are rearchitecting MongoDB Server’s ingress networking to make MongoDB clusters even more secure. This new team is building the Atlas Network Protection layer, a set of performant, security-critical services that harden MongoDB's pre-authentication attack surface and provides the ability to respond rapidly to emergent threats. We are looking for talented Staff Engineers to join the team and be founding members, where you will play a crucial role in our multi-year roadmap. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a key technical leader on a collaborative team that applies security and systems engineering fundamentals to protect a popular database at scale, join us! We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Candidate Profile 10+ years of experience building production-quality systems software with a large user base, robust design structure, and rigorous code quality Experience with large backend/compiled codebases and performance-sensitive software, preferably in Rust Bonus points for experience working hands-on in security-sensitive or networking-adjacent domains Strong systems fundamentals, including multi-threaded programming and performance profiling. Bonus points for: Understanding of network protocols, TLS, and connection lifecycle management. Familiarity with security concepts such as attack surface reduction, input validation, memory safety, and defense-in-depth architectures. Excellent verbal and written technical communication skills for communicating to a wide variety of audiences ranging from junior engineers to executive stakeholder Strong mentorship skills, and excitement about leveling up your peers and teammates through coaching, feedback, and enablement Strong time management skills and the ability to realistically assess project complexity B.Sc. in Computer Science or a related

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About the Team The Finance Data Science team owns the forecasting systems that power Snowflake’s revenue planning and long-term financial strategy. Our work supports corporate planning, executive decision-making, and investor reporting, and we partner closely with Product and Sales to understand customer behavior and product impact. We operate at the intersection of machine learning, statistical research, and corporate finance, building production-grade forecasting infrastructure that is foundational to how the company plans and operates. The Role As a Senior Data Scientist, you will independently lead high-impact modeling initiatives and build production-ready forecasting systems for core financial metrics. You will work on complex, open-ended problems at the intersection of machine learning and business strategy, translating real-world financial questions into rigorous, scalable models. What You’ll Do Design and implement advanced time-series and probabilistic models (e.g., hierarchical models, state-space models, Bayesian approaches, multivariate forecasting). Contribute to internal tooling and shared infrastructure that enables scalable forecasting and analytics. Establish best practices for model evaluation, backtesting, uncertainty quantification, and scenario simulat

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. WHO WE ARE Enterprise at Baseten means the companies with the most to gain from AI and the most complexity in getting there: large digital natives running products at massive scale, and category leaders in software, financial services, healthcare, and beyond. They have the data, the distribution, and the budget. Most are still deciding what to build, what to run themselves, and what it should cost. That makes this a consultative sale. You'll spend as much time helping a VP of Engineering pressure-test their AI strategy as you will selling against an alternative, mapping use cases, framing build-vs-buy, and giving clear recommendations grounded in what you've seen work at the frontier. Then you'll do the enterprise work: multithreading across a buying committee, navigating security and procurement, and turning a first workload into an eight-figure relationship. You'll work alongside our founders, forward-deployed engineers, and GTM leadership, in a seat where the playbook is still being written. RESPONSIBILITIES Own a revenue target end to end, from prospecting and outbounding through closing Tier 1 accounts in your verticals Act as a strategic advisor on AI adoption: identify use cases, shape architecture decisions, and lead with clear, opinionated recommendations Multithread across large organizations, from the engineers running evals to the executives funding the program to security, legal, and procurement Win lighthou

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Description At Micron, we offer an outstanding opportunity for a dedicated and ambitious Contamination Control Technician to join our diverse team at FAB 10. As a key player in the environment quality control sector, you will collaborate with Facilities, Equipment, Fab support, Production Teams and area engineering teams. Your role will involve environmental samplings, quality control checks, contamination troubleshooting, state-of-the art sensors maintenance to prevent environment/chemical contamination (such as particle, airborne molecular contamination, liquid particle contamination) to the manufacturing process. You will consistently adhere to world-class standards and successfully implement coordinated reaction mechanism to prevent fab excursion. Responsibilities: Responding to ERT and Security alerts and ensuring that gowning room logistics are adequate when evacuation occurs. Responding to contamination alarms and reporting abnormal conditions to engineering and other stake holders. Sampling various areas of the Fab for contamination (swab, bacteria, airborne and liquid particles and airborne molecular contamination) and working with the chemical lab to have the sampl

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 AI Native is our segment for companies whose core product is AI, from their first model in production through serious scale. You'll be the first person at Baseten to reach many of these founders, and you'll win them early. This is a high-velocity, high-intensity seat. You're running many early-stage opportunities at once, moving fast with founders who move fast, and going deep enough technically to be useful on day one. If you want a front-row seat to the frontier of AI and the ambition to grow into our largest accounts, this is the seat. RESPONSIBILITIES Source, close, and grow new business with early-stage AI companies. You own pipeline generation, not just what's handed to you Run fast, technical sales cycles with founders and early engineering teams, from first call to first production workload Prioritize ruthlessly across a high volume of opportunities and drive each one forward without dropping the thread Pull in applied research and engineering when a deal needs depth, and keep everyone moving on your timeline Bring the field back to product. You see what early AI teams need before the rest of the market does REQUIREMENTS 2+ years of closing sales experience in a SaaS or infrastructure business, with a record of closing Genuine curiosity about open-source models and AI infrastructure. You follow model releases and can hold a real conversation with engineers Strong prioritization and project management ins

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role Snorkel AI is hiring a Manager, Forward Deployed Engineering to build and lead our Forward Deployed Engineering (FDE) function within the Data-as-a-Service (DaaS) organization. This team is responsible for the technical execution layer of DaaS delivery — owning the systems, workflows, and quality frameworks that power high-quality dataset production at scale. You will lead a team of engineers who operate across the full AI data lifecycle: designing evaluation systems, building ML-assisted workflows, and developing the technical foundations that make human-in-the-loop (HITL) data generation faster, more reliable, and scalable. This is a hands-on, player coach role where you’ll both help define the strategy and architecture of our data pipelines while staying close to implementation. As a founding leader, you will establish how FDE partners with Delivery, Engineering, and Research to ensure consistent, high-quality execution across all DaaS projects. You’ll operate at the intersection of data engineering, ML engineering, and production operations, driving the evolution of our technical delivery capabilities and enabling Snorkel to scale its impact across increasingly complex AI workloads. Main Responsibilities Build and lead the Forward Deployed Engineering function, defining the team’s operating model, technical roadmap, and standards for execution Hire, mentor, and develop a high-performing team, fostering strong ownership, velocity, and

About the team: OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the role: We are seeking an experienced Optical Network Engineer to lead Laser related work within our optical interconnect efforts for large-scale compute systems. The role also requires broad, hands-on optical validation experience across IM/DD-based interconnects, working from lab characterization through production readiness and scaled deployment. In this role you will: Drive laser-focused requirements and technical direction within the broader optical interconnect roadmap. Lead evaluation and validation of optical components and subsystems, including laser-based elements, in lab and production-representative environments. Support end-to-end optical testing for IM/DD interconnects (e.g., module/system bring-up, characterization, debug, and readiness for scale). Work with external partners to align on development milestones, performance targets, and quality expectations. Own technical issue triage and resolution across performance, reliability, and manufacturability topics. Collaborate across internal teams to support integration, rollout, and operational success at scale. You might thrive in this role if you have: Strong experience in laser-focused optical engineering (development, validation, manufacturing readiness, or field support). Broad hands-on background with IM/DD optical technologies and optical test/debug workflows. Experience working with external suppliers/manufacturing partners and production-oriented execution. Demonstrated ability to debug complex t

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 Data Engineer to build and scale Baseten’s internal data platform. This role sits at the intersection of data engineering, analytics, and data science, transforming raw product and business data into reliable datasets that power decision-making. You’ll design the data models, pipelines, and analytics infrastructure that enable teams across Product, Engineering, Finance, Marketing, and Sales to understand usage and performance. This includes working with AI inference, infrastructure, and observability data to generate insights about the product, business operations and platform economics. You’ll partner closely with stakeholders to build robust, scalable pipelines, define company-wide metrics that inform strategy and planning. RESPONSIBILITIES Design and maintain core data models and semantic layers Develop and orchestrate batch and streaming data pipelines using technologies such as Apache Beam, Kafka, Airflow, or similar frameworks Analyze inference and infrastructure telemetry , including data from OpenTelemetry, Grafana, and other observability tools Define and maintain company-wide metrics across product usage, performance, and customer lifecycle Enable self-service analytics through agents and tools, with well-structured semantic layers and context Ensure data reliability and quality through testing, documentation, and governance PREFERRED QUALIFICATIONS Understanding of inference metrics suc