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Production Scheduler Enhancement Engineer Jobs

8,499 active opportunities · Updated for October 2026

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Explore current production scheduler enhancement engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

O
OpenAI
📍 San Francisco• Full-time• Remote• $220K – $335K/yr
1mo ago

About the Role As a member of the Data team within the Go-to-Market organization, you will help build a data-driven culture, improve decision-making, and advance strategic initiatives through analytics. This is a full-stack data role spanning data modeling, metric definition, visualization, analysis, and self-service tooling. You will build trusted, scalable data sources and products that give the business reliable, actionable insights. The work calls for judgment: you will choose the tool, approach, and level of investment that best fit each problem, from a focused analysis to a durable production data product. As a core partner to the GTM organization, you will address both foundational and ad hoc analytics needs. You will turn complex data into clear narratives that help technical and non-technical audiences understand what is happening, why it matters, and what they should do next. In This Role, You Will Partner closely with GTM teams to proactively identify high-impact questions and translate business needs into data models, metrics, analyses, and scalable technical solutions. Define, source, validate, and operationalize the metrics that guide the business, helping teams incorporate them into planning and day-to-day decisions. Lead cross-functional data projects across established and emerging business areas, including setting the data strategy for greenfield domains. Build scalable data models and pipelines that integrate and transform data from multiple sources into trusted, accessible datasets. Create dashboards, reports, analytical tools, and other data products that enable stakeholders to answer questions independently. Own the lifecycle of metrics, analytical models, and data products from initial exploration and prototyping through production and ongoing maintenance. Choose the most effective approach for each problem—whether an analysis, metric, data model, visualization, or self-service product—based on the audience, urgency, complexity, and expected v

REMOTEpythonreactsql
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Pendo
📍 New York• $148K – $178K/yr
1mo ago

Software Engineer (AI) The Team + The Role Pendo spent a decade helping companies understand how people use their software. Agents are the next surface, and this team builds the product for it: customers install Pendo on their own agentic systems, including MCP servers, agent frameworks, and copilots, and Pendo shows them what those agents are actually doing. The team helps customers understand which tools get called, where calls fail, where a contract confuses the model, and what to fix next. As an AI Software Engineer, you will own features end to end across the service, interface, and the seam between them. You will work across Go services, Vue interfaces, install experiences, instrumentation, telemetry, and LLM-backed product capabilities. You will start with well-shaped problems and take on progressively more ambiguous work as you build context, writing code others can operate and raising issues early when a spec does not match reality. This role is based in our New York City office. What this looks like day-to-day Full-stack feature delivery: Ship full-stack features end to end across Go services and Vue interfaces. You will work across backend and frontend boundaries to build product experiences that are reliable, usable, and ready for production. Customer install and instrumentation: Build the install and instrumentation experience customers drop into their own agentic systems. Your work should be quick to adopt, hard to get wrong, and light enough to run in production. Agent behavior visibility: Capture agent behavior and make it legible for customers. You will help expose tool calls, failures, latency, and the places where a model and a tool contract talk past each other. LLM-backed product development: Work on LLM-backed features including prompt and context design, tool calling, evaluation, and related failure modes. You will use hands-on judgment from building with models to improve how customers debug and understand agent behavior. Safe, incremental sh

pythonjavareact
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O
OpenAI
📍 San Francisco• Full-time• $230K – $342K/yr
1mo ago

About the Team The Consumer Devices team at OpenAI builds end-to-end hardware and software systems that bring AI into the physical world. We work at the intersection of custom silicon, embedded systems, operating systems, and cloud services to deliver reliable, production-ready devices at scale. About the role We are looking for an Operating Systems Engineer to build and harden the OS foundations for OpenAI products. We are especially interested in experienced, passionate, and innovative operating systems developers who thrive on building foundational platform software and solving hard problems in security, privacy, performance, power, and reliability. You will work across the OS kernel, core OS services, security and privacy primitives, performance and power, and the frameworks that connect applications and UI to the system. This role emphasizes deep debugging and systems ownership from development through production. You will collaborate closely with embedded, firmware, hardware, application, and product engineering teams. Experience with hardware bring-up is a plus, but not required. What you will do Work on end-to-end OS capabilities spanning the OS kernel, userspace services, application frameworks, UI toolkits, and application-facing APIs. Develop, integrate, and maintain OS components, both kernel-bound and in userspace, including scheduling, memory management, filesystems, drivers, IPC/RPC mechanisms, and security-relevant subsystems. Build and maintain core OS services and daemons (init, service management, device discovery, networking primitives, time, logging, update hooks, crash handling, and so on). Design and implement security and privacy mechanisms: Secure boot and measured boot integration points (where applicable). Mandatory access control and sandboxing. Secrets management, secure storage, key handling, and least-privilege service design. Privacy-preserving telemetry, data minimization, and user-consent oriented system behaviors. Establish a perfo

linuxartificial intelligenceai
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1mo ago

Warp: We're Building the Platform for Agentic Development Warp began with the vision of reimagining one of the fundamental dev tools, the terminal, to make it more usable and powerful for all developers. As AI has advanced, Warp has evolved beyond its terminal roots into a full agentic development environment: a workbench for dispatching agents to code, deploy, and debug production software. Today, we have three products. Warp is the agentic development environment born out of the terminal, built on an orchestration platform for running hundreds of cloud agents in parallel. And Warp Factories is our newest product: infrastructure for engineering teams to build and run their own cloud software factories, where fleets of agents triage, spec, implement, review, and verify code across a company's entire SDLC. Together, these products are creating the scaffolding for developers to build their own workflows for working with agents. In Warp, you can seamlessly switch between running commands, launching agents, and iterating on code with agents, eliminating the need to jump between a terminal and an IDE. It all works with our built in SOTA agent or top agents like Claude Code, Codex, Gemini CLI, and OpenCode. On the orchestration side, you can build custom agents that are triggered programmatically, tracked centrally, and shared across full teams to run agents across organizations without compromising security or reliability. Continue a cloud agent run locally in Warp or on the web with one click. And with Warp Factories, teams can go a step further and set up entire automated workflows around their SDLC, retaining full control over their data, models, and compute along the way. With over 1 million active developers at companies including Docker, Ramp, and Peloton, and over half of the Fortune 500, and revenue that grew over 44x last year, Warp is one of the fastest growing startups in the AI development space. Our mission has remained the same even as AI has advanced: to e

REMOTEdockeraisalesforce
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Position Overview We are looking for a Senior Software Engineer to join the Aura AI Platform team. You will design, build, and operate the infrastructure that runs customer workloads (Notebooks, Jobs, Apps, AI Agents, and Model-serving) on top of SingleStore, across multiple regions and clouds. You will work on services that manage container pools, resource scaling, routing, RBAC, Billing, Observability and secure network access between clusters. This role is ideal for engineers who enjoy building distributed platforms, owning production systems, and enabling real-time AI and data applications at scale. What you'll do: Design, build and maintain the platform that powers internal and customer‑facing intelligent services on SingleStore Lead complex, cross-functional technical initiatives from conception to deployment, mentoring other engineers along the way Work closely with product managers, designers, customers, and other engineers to ensure we deliver a high-quality experience Drive the team's engineering standards, championing best practices in system design, code quality, testing, observability, and CI/CD pipelines to ensure we scale reliably. Share on-call responsibilities and proactively improve the reliability, security, and cost-efficiency of our cloud infrastructure. Your Experience: 4+ years of experience working on a SaaS product Experience with working on distributed systems, ideally in programming languages such as Golang, Python or Rust Experience working with Kubernetes and/or containerized services Intellectual curiosity about investigating issues that impact business metrics Passion for building high-quality products that are robust and easy to maintain in a fast-paced, team-oriented environment Strong communication skills with a passion for mentoring peers, fostering a collaborative team culture, and executing efficiently in a fast-paced environment. Bachelor’s degree in Computer Science or equivalent practical experience. Preferred Qualifications:

pythonreactsql
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At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As a Senior Software Engineer, Data on the Mapping team, you will collaborate with our world-class team of engineers, product managers, and scientists to grow and improve the quality of recommended routes and accuracy of our travel time estimations. You will lead the architecture and long-term technical direction of our offline experimentation tooling and route simulation services — the systems that let Lyft test routing changes safely before they reach production. You'll also build scalable data pipelines for experimentation, analytics, and machine learning models, along with the data governance and observability systems that keep them trustworthy. Your work will enable integration with partner teams and allow stakeholders across Engineering, Data Science, and Product to make data-informed decisions that directly impact Lyft’s growth and profitability. Our technology stack is based on the latest technologies such as AWS, Databricks, Kubernetes and Airflow. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that directly impact millions of riders and drivers. Responsibilities Own core data pipelines end-to-end, building deep subject matter expertise in the systems you manage and defining/managing SLAs for pipelines, services, and datasets to ensure reliability at scale Serve as the technical owner and architectural lead for our offline experimentation platform and route simulation services, setting technical direction, evaluating trade-offs, and ensuring the systems scale with Lyft's routing and mapping ambitions Continuously evolve data models and schemas to meet business and engineering requirements Develop AI tools that support self-service management of data pipelines (ETL) and schema evolution, and perform han

pythonsqlpostgresql
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S
SingleStore-LinkedIn
📍 United States• $120K – $200K/yr
1mo ago

Forward Deployed Engineer (FDE) Position Overview SingleStore is seeking a Forward Deployed Engineer (FDE) to operate at the intersection of solution architecture, technical delivery, and customer partnership. This role combines elements of a solutions architect, technical account manager, and solution engineer, with a strong emphasis on execution. As an FDE, you will serve as a trusted technical advisor and sounding board for customers, helping them design, implement, and scale real-time data solutions using SingleStore. You will work closely with customers to understand their business objectives, translate them into technical strategies, and drive those solutions into production. This role requires a delivery mindset, strong technical depth, and the ability to lead both strategic conversations and hands-on execution. Role and Responsibilities Partner directly with customers to understand their architecture, use cases, and business goals, and translate them into scalable technical solutions. Design and implement end-to-end solutions integrating SingleStore into existing application and data ecosystems. Lead whiteboard sessions to shape ideas, define architecture, and convert concepts into technical specifications and execution plans. Act as a proactive thought partner, bringing ideas and guiding conversations rather than reacting to requirements. Own delivery of high-impact initiatives from concept through production, ensuring successful outcomes. Provide hands-on support, including troubleshooting, optimization, and applying pragmatic solutions or fixes when needed. Collaborate closely with Sales, Solutions Engineering, Product, and Engineering teams to align customer needs with product capabilities and roadmap. Help customers prioritize and operationalize their data initiatives, balancing ambition with practical delivery. Feed insights from customer engagements back into Product and Engineering to influence roadmap and improvements. Your Experience 10+ year

sqlrecruitment
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Job Requisition ID # 26WD100713 Position Overview The Events & Experiences team is seeking an experienced Keynote Content Producer to help shape the creative content behind Autodesk's most important live experiences. This role will support keynote content across Autodesk's growing portfolio of flagship events, including Autodesk University (AU), One Team Conference (OTC), TechX, and other emerging programs. As part of the Worldwide Marketing organization, you'll partner across Executive Communications, Product Marketing, Brand, Creative, and production agency teams to transform ideas into memorable live experiences. From presentation design and customer stories to multimedia content, product demonstrations, and executive presentations, you'll bring together the many creative elements that define Autodesk's keynote experiences. This is a unique opportunity for someone who thrives at the intersection of creativity, production, and project management. You'll orchestrate complex content workstreams, build alignment across diverse teams and stakeholders, anticipate challenges before they impact delivery, and play a key role in delivering some of Autodesk's most visible moments for customers, partners, employees, and industry audiences around the world. Successful candidates are equally comfortable building detailed production plans, collaborating with creative teams, influencing without direct authority, and adapting quickly in the fast-paced environment of live events. Responsibilities Partner with the Director of Keynote Strategy and cross-functional stakeholde

REMOTEproject management
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H
Hp
📍 California• $107.4K – $155.7K/yr
1mo ago

Interactive Design Engineer - HPIQ Description - About The Role As a Product Design Engineer at HP IQ, you’ll work at the intersection of creativity, engineering, and design to develop groundbreaking devices that redefine how people interact with technology. You’ll collaborate closely with industrial designers, hardware engineers, and interaction designers to transform ideas into functional prototypes and production-ready designs. From 3D CAD modeling and hands-on prototyping to engineering analysis and design validation, you’ll help solve complex mechanical challenges and drive designs from early concepts toward production. You’ll have the opportunity to take ownership of meaningful engineering work while learning from an experienced, multidisciplinary team and contributing to products that push the boundaries of what’s possible. What You Might Do Design mechanical parts, components, and assemblies for new consumer devices using 3D CAD (NX) Create detailed 2D engineering drawings, define specifications and tolerances, and work closely with overseas vendor partners to ensure accuracy and quality Design and run experiments, applying engineering analysis and test results to guide design decisions Evaluate materials, manufacturing processes, and design tradeoffs to develop robust and scalable solutions Work cross-functionally with hardware, software, industrial design, and other engineering teams to bring concepts from ideation through development Conceptualize, design, and build prototypes that quickly validate ideas Participate in design reviews, clearly communicating design decisions, technical analysis, and tradeoffs to both technical and non-technical audiences Build, test, troubleshoot, and iterate prototypes to identify issues and improve product performance, reliability, a

H
Hp
📍 California• $107.4K – $155.7K/yr
1mo ago

Product Design Engineer - HPIQ Description - About The Role As a Product Design Engineer at HP IQ, you’ll work at the intersection of creativity, engineering, and design to develop groundbreaking devices that redefine how people interact with technology. You’ll collaborate closely with industrial designers, hardware engineers, and interaction designers to transform ideas into functional prototypes and production-ready designs. From 3D CAD modeling and hands-on prototyping to engineering analysis and design validation, you’ll help solve complex mechanical challenges and drive designs from early concepts toward production. You’ll have the opportunity to take ownership of meaningful engineering work while learning from an experienced, multidisciplinary team and contributing to products that push the boundaries of what’s possible. What You Might Do Design mechanical parts, components, and assemblies for new consumer devices using 3D CAD (NX) Create detailed 2D engineering drawings, define specifications and tolerances, and work closely with overseas vendor partners to ensure accuracy and quality Design and run experiments, applying engineering analysis and test results to guide design decisions Evaluate materials, manufacturing processes, and design tradeoffs to develop robust and scalable solutions Work cross-functionally with hardware, software, industrial design, and other engineering teams to bring concepts from ideation through development Conceptualize, design, and build prototypes that quickly validate ideas Participate in design reviews, clearly communicating design decisions, technical analysis, and tradeoffs to both technical and

We are seeking a highly skilled and experienced Staff Network Site Reliability Engineer (SRE) to join our Enterprise Network Operations and SRE team. In this role, you will be pivotal in implementing our vision for a reliable and efficient network infrastructure. The ideal candidate is passionate about network operations and committed to enhancing the user experience. You'll have the opportunity to solve complex network challenges using hands-on debugging and by focusing on network automation, observability, documentation, and operational excellence. This is a critical position focused on ensuring user satisfaction and brilliance in network operations. What you'll be doing: Owning the operational aspect of the network infrastructure, ensuring its high availability and reliability, actively working on network incidents and service requests. Partnering with architecture and deployment teams to guarantee that new implementations are supportable and align with production standards. Advocating for and implementing automation to reduce toil and improve operational efficiency. Minimizing manual operational tasks to achieve and maintain Service Level Objectives (SLOs). Monitoring network performance, identifying areas for improvement, and collaborating with relevant teams to implement refinements. Proactively identifying and mitigating network risks to promote continuous improvement. Collaborating with domain experts across functions to resolve production issues swiftly and effectively, ensuring customer happiness. Conducting blameless postmortems and following through on Root Cause Analyses (RCAs). Discovering opportunities for operational improvements and teaming up with colleagues to devise solutions that enhance excellence and sustainability in network operations. Developing knowledge base articles for automa

pythonlinuxansible
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NVIDIA is looking to hire a Test Engineer in Roskilde, Denmark for the development of silicon photonics and semiconductor devices that will link-up the datacenters of tomorrow. The successful candidate will work on electrical and optical device test program development, including technical management of development projects with multiple partners from across the organization. This role is an opportunity to work on NVIDIA core technology under development. What you'll be doing: Develop and implement electrical semiconductor test programs, collaborating closely with international teams to build solutions that ensure flawless execution. Perform device characterization and conduct data analysis to provide quality feedback to designers. Partner with internal teams to ramp new silicon from development to product and hand over to production teams. Improve yield and reduce test time through innovative solutions. What we need to see: A B.Sc/M.Sc in Electrical Engineering or Physics from a reputable university, or equivalent experience. Demonstrated experience in electrical engineering and programming. Over 2 years of experience in the semiconductor industry. Experience in photonic or semiconductor testing or validation, along with programming languages like Python and VBA. New outstanding graduates will also be considered. Ways to stand out from the crowd: Strong knowledge of probability and statistics tools, such as JMP. A new way of problem-solving that drives success. Experience leading cross-organizational activities with a high sense of responsibility. Join us in our mission to pioneer the next generation of computing and leave a lasting mark on the world. At NVIDIA, you will be part of a

pythonExcel
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1mo ago

NVIDIA is seeking a System Test Engineer to join our Test Solutions Group, where you will develop and deploy manufacturing test solutions for next-generation datacenter systems. You will combine hardware and software expertise to expand test coverage, automate diagnostics, and solve complex production challenges at scale. NVIDIA has been reinventing computing for more than two decades. From pioneering the GPU and transforming computer graphics and gaming to powering the AI revolution, we continue to tackle problems that matter. Join a team dedicated to amplifying human creativity and intelligence. What you’ll be doing Define, develop, and implement manufacturing test solutions for datacenter system products. Investigate and introduce new test technologies and methodologies to improve quality, coverage, throughput, and production efficiency. Develop test strategies for new product features, including test identification, specification, fixture and equipment design, diagnostic software development, and qualification. Provide Design-for-Test (DFT) feedback early in the product design cycle. Debug complex hardware, firmware, and software issues throughout prototype and production build phases. Build and improve automated diagnostic-generation and validation infrastructure. Collaborate across engineering, operations, and manufacturing teams to deliver robust, scalable test solutions. Coordinate technical work across team members and drive execution on shared deliverables. What we need to see Bachelor’s degree in Electrical Engineering or equivalent practical experience. 3&#43; years of post-silicon validation experience with board-level or system-level products. Experience developing or supporting platform-level manufacturing test programs. </l

pythonai
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M
1mo ago

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 Summary As a Manufacturing Technician, you will support semiconductor manufacturing operations by ensuring products move efficiently through production processes while maintaining quality, safety, and operational excellence. You will partner closely with production, engineering, quality, and operations teams to support manufacturing performance and continuous improvement. Main Responsibilities Support daily manufacturing operations and production workflow. Monitor product movement and production status. Execute operational procedures according to defined work instructions. Escalate process abnormalities and production issues promptly. Perform data collection and basic analysis to support manufacturing improvement activities. Support yield, productivity, and quality improvement initiatives. Maintain accurate production records and documentation. Participate in continuous improvement projects. Other & AI Responsibilities Utilize approved digital and AI-enabled tools to enhance operational efficiency. Support data-driven decision making and process optimization activities. Candidate Profile / Job Requirements Minim

artificial intelligenceairecruitment
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NVIDIA Networking is a leading provider of innovative end-to-end InfiniBand and Ethernet connectivity solutions for servers and storage. Our portfolio includes adapter cards, switches, cables, and software designed to optimize Data Center performance with industry-leading bandwidth and scalability. We serve diverse sectors such as high-performance computing, enterprise, cloud computing, and Web 2.0. Our mission is to stay ahead of the market by delivering groundbreaking products and services. Our Ethernet solutions are tailored for industries like Media & Entertainment and any domain that benefits from advanced DataStream and TCP/IP acceleration. What You’ll Be Doing: Lead a team of 8&#43; mechanical design engineers. Define priorities, create project plans, and allocate resources for mechanical programs in coordination with Product Managers. Drive all electro-mechanical, automated JIG and thermal design aspects, of production test setups, ensure readiness of test and assembly infrastructure for high-volume manufacturing. Develop multiple early design concepts in fast-paced product development cycles. Lead task forces to investigate and resolve production issues, reliability concerns, and conduct failure analysis. Perform risk assessments and implement mitigation strategies during product design. What We Need to See: B.Sc. in Mechanical Engineering or higher. 10&#43; overall years of relevant experience including 4&#43; years of experience managing teams of engineers in R&D environment. Proven expertise in developing, testing, and manufacturing of complex automated connection systems with precise moving parts, pneumatic and electro-mechanical systems design. Strong hands-on experience with 3D CAD tools (Creo preferred) static and dynamic mechanical simulation Solid background in designing components and sub systems an

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