Production Scheduler Enhancement Engineer Jobs

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is hiring an ATE Test Development Engineer who can build sophisticated, scalable test solutions on the Advantest V93000 platform using SmartTest 8, custom code, and low‑level tester APIs. This role is ideal for someone who enjoys writing clean, modular software that directly touches hardware, understands how measurements are supposed to work, and can drive experiments that isolate variables across silicon, instrumentation, and test methodology. You will own the development, debug, datalogging, and optimization of ATE test content for NPI and production, ensuring our devices are thoroughly characterized, efficiently tested, and ready for high‑volume manufacturing. This role is hybrid, b ased out of Austin,TX; Santa Clara,CA; or Fort Collins, CO. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You bring 10+ years of experience in ATE test development, semiconductor test engineering, or post-silicon validation. You are proficient with Advantest V93000, SmartTest 8, tester APIs, C++ or Java, and Python automation. You understand ATE instrumentation, including DPS, PMU, RF/HSIO, timing sets, multisite execution, and tester-to-DUT

Build quality into every product and help shape the future of AI-powered software. As a quality engineer at Gallup, you'll help deliver software our clients can trust by partnering with product managers, software engineers, designers and fellow quality engineers to ensure quality in every stage of the software development life cycle. Rather than simply executing test cases, you'll apply systems thinking to identify risks, develop thoughtful validation strategies and help ensure every release delivers an exceptional customer experience. As Gallup continues to expand its AI-powered products, you'll also have opportunities to contribute to testing intelligent workflows and emerging AI capabilities. What You’ll Do Develop a deep understanding of product features, customer workflows, system interactions, APIs, data flows, integrations and technical dependencies to identify quality risks and determine the most effective validation strategy Collaborate within Gallup's Product Operating Model alongside product managers, software engineers, designers and fellow quality engineers to ensure quality in every stage of product development Design, execute and maintain manual and automated tests across user interfaces, APIs, integrations and end-to-end workflows Develop and maintain automated test suites using Playwright or comparable modern automation frameworks Perform exploratory, regression, smoke and end-to-end testing to uncover system risks and validate critical customer experiences Integrate automated tests into CI/CD pipelines to provide fast, reliable feedback throughout development Troubleshoot automation failures and partner with engineering teams to improve test stability, reliability and automation coverage Create and maintain test plans and traceability that reflect product intent, customer impact and overall validation strategy Support production validation and investigate customer-reported issues when needed Continuously improve quality engineering practices, autom

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role You embed directly with customer teams as the engineer on the ground: own an outcome, ship a production-grade SpaceXAI system that still runs after you leave, and become the critical technical feedback loop from the field back to product engineering. The work is the project. One week you might take a messy business workflow and put a production agent on it: pick the use case, stand up the architecture, wire it into the customer’s auth, data, and tools, then harden it with evals until the team actually uses it. Another week you might live in a customer’s repo and delivery system and ship an agent-powered path for a migration, a PR review loop, or an incident-to-fix flow, behind tests, review, and rollout rather than in a chat sidebar. Either way, you measure what matters, leave the customer able to operate it, and bring the pattern back as another use case for SpaceXAI. This is not a demo role. You own the work end to end, from the first discovery call through launch, iteration, and post-launch support, and you are responsible for systems that work in the real world. What you’ll do Lead discovery with the customer: orient in their codebases and workflows, find the

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. Okta Identity Governance (OIG) organization is looking for a Senior Engineer to join our team — OIG is Okta’s Identity Governance and Administration solution that is directly responsible for one of the most critical and visible workflows in enterprise identity: how employees request, approve, and gain access to the resources they need. Opportunity As a Senior Engineer on the OIG team, you will be involved into development, design, and maintenance of our product to serve enterprise customers at scale. You will involve the architecture and evolution of our product features — spanning the across different access governance personas — and work collaboratively across engineering, product, and design to deliver features that are secure, scalable, and delightful to use. This is a role for someone who thinks in systems, leads with craft, and is energized by the challenge of building enterprise-grade software that millions of users depend on. This is a rare opportunity to join a team where your technical decisions will directly shape how thousands of enterprises manage access governance at scale, where the technical challenges are genuinely hard, and where the work you ship will be seen and felt by real users every day. Job Duties And Responsibilities Take end-to-end ownership of feature areas — from technical design through implementation, testing, deployment, and post-launch monitoring Design, build, and ship high-quality, production-ready features ac

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Staff Machine Learning Engineer on Twilio’s Conversation Memory team. About the job In this role, you will build the foundational AI/ML capabilities that power intelligent engagement experiences for Twilio customers - letting any application, human or AI agent, or channel know who a customer is, what they have done, and how best to reach them. This role requires a builder and curious mindset, someone who can bridge the gap across theoretical research, production-grade experimentation and enterprise quality software. You will lead rapid research cycles to solve complex problems regarding contextual intelligence and large scale ML problems ensuring every interaction feels seamless and personalised. Responsibilities In this role, you’ll: Build out new functionality within a fast moving product seeing rapid adoption. Take a nebulous idea, design a rigorous experiment, and execute it within weeks. Conduct deep-dive research

CAPCO POLAND * We are looking for Poland based candidate. * This role is hybrid and may require working from the office in Warsaw. At Capco Poland, we’re not just another consultancy - we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we thrive on helping clients tackle the toughest challenges across banking, payments, capital markets, wealth, and asset management. Business Analyst – Market Risk Data & AI Automation Role Overview We are seeking an experienced Business Analyst within Financial Markets Technology to support Market Risk initiatives, with primary ownership of the Data Quality Management System and associated data-lineage processes. The role will focus on re-engineering and automating manual data-quality and lineage processes using AI/GenAI tooling , while acting as the bridge between business, risk, data and technology teams. Key Responsibilities Own and maintain end-to-end data lineage across the Market Risk Platform (MRP), including source-to-target mappings, interfaces, transformations and downstream dependencies. Analyse ADO tickets, code repositories and documentation to assess change impacts and investigate data-quality issues. Work with data owners, developers and application teams to resolve lineage gaps and maintain accurate documentation. Track lineage changes throughout the delivery lifecycle and ensure documentation remains aligned with production releases. Support strategic Market Risk transformation initiatives, including FRTB, by documenting current/target-state data flows and downstream impacts. Identify and implement AI/GenAI-enabled automation , including automated lineage extraction, model/mapping generation, analysis and visualisation. Re-engineer manual data-quality and control processes to improve efficiency and reduce operational effort. Maintain governance and lineage evidence supporting BCBS239 , audits and data-owner atte

MongoDB’s Employer Brand team owns how MongoDB is viewed as an employer and helps attract the talent needed to support our growth. We turn MongoDB’s strategy, EVP and employee experience into clear, credible stories and experiences across the candidate journey. As an Employer Brand Analyst, you will support the delivery of our India Employer Brand strategy during a period of significant hiring growth. This is a hands-on individual contributor role focused on content creation, particularly video, and strong project execution. You will create, film and edit content, coordinate across teams and help prioritise activity against the most important hiring needs. This position is a 12 month fixed term contract. You do not need an Employer Brand background, but strong content creation skills are essential. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Responsibilities Create content across video, social and digital channels, including employee stories, short-form videos and campaign assets Own video production from concept through delivery, including planning, filming and editing Support Employer Brand campaigns across digital media, social, employee advocacy, PR and influencer activity Coordinate projects across Recruiting, Social, Comms & PR, agencies, employees and technical leaders, managing timelines, reviews and approvals Partner with Recruiting to prioritise activity based on changing hiring needs and the talent audiences where Employer Brand can have the greatest impact Manage multiple priorities at once and adapt quickly as business and hiring priorities change Support third-party employer profiles, awards activity and local internal communications Qualifications 2+ years of experience in content creation, social media, digital marketing, employer branding or a related field Hands-on video production experience, including filming and editing Experience using video editing tools such as Adobe Premiere Pro, Fi

About Prodigal Prodigal is the connected AI platform leading financial institutions use to run their operations. We work with banks, lenders, credit unions, and other financial companies that lend money to people and manage those relationships over time. These institutions make millions of high-stakes decisions every day. Who should they reach? When should they reach them? What should they say or offer? When should a case move to a human? How should that change based on the borrower, the account, previous interactions, and the regulations involved? Getting those decisions right requires a deep understanding of the people, processes, rules, and edge cases behind them. Prodigal has spent the last eight years building that understanding. More than a billion interactions between financial institutions and their customers have shaped the intelligence, guardrails, and AI agents we now run in production across North America. Today, our AI agents analyze conversations, capture context, guide human agents, decide the next action, conduct customer conversations, orchestrate outreach, and help people complete payments and resolutions. They are connected, so what is learned in one interaction can inform what happens next. We are expanding this swarm of AI agents across more of the work financial institutions do: originations, document processing, back-office workflows, servicing, and other critical operations where money, identity, people, and regulation intersect. We are backed by Y Combinator, Accel, and Menlo Ventures, and work with 100+ financial institutions across North America. Listen directly from our CTO, Cofounder - Sangram Raje What You’ll Do Build and deploy LLM-powered AI agents (including voice agents) in production, designed for real-world use cases Own the end-to-end lifecycle of AI systems — from problem scoping and design to deployment, monitoring, and continuous iteration Design and optimize prompts, RAG pipelines, and evaluation frameworks to improve accurac

About the Team The Forward Deployed Engineering (FDE) team is a highly specialized, customer-facing software engineering team at Databricks. We work with Databricks most strategic customers to design, build, and productionize first-of-their-kind data and AI solutions. This team is the right fit for you if you love working side-by-side with customers, collaborating with teammates, and pushing your curiosity across the latest trends in data, applications, and AI innovation. Role Description As a Forward Deployed Engineer (FDE) , you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes. The impact you will have: Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform. Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Cross-Functional Collaboration: Partner with

About the team The Applied AI Engineering (Codex) team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software. About the Role We are seeking a technically deep, creativity-driven Applied AI Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt. This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies. This role is based in Singapore. 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: Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows. Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout. Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process. Lead large-format workshops, technical deep dives, and hands-on

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role As Lead Manufacturing Engineer, Tooling Design, you'll be Mach's go-to expert on two things: how we design tooling, and how parts are designed so automation can handle, locate and assemble them. You'll push the field forward through research and development (R&D) on new materials, hardware and processes. You'll design experiments, build test articles, partner with suppliers and move what works into production. This is a hands-on technical leadership role with direct reports. Key Responsibilities Own the Tooling and Design-for-Automation guide Write, publish and maintain Mach's Tooling and Design-for-Automation guide. It should cover: design rules, with the reasoning and test data behind them preferred tooling components, materials and automation approaches standard locating features and tolerances worked examples and review checklists Write tooling standards: datum and locating strategy, modular fixture components, clamping, materials and documentation. Write design-for-automation rules for parts: gripping and locating features, part presentation and feeder compatibility, robot and tool access Set metrology and tooling verification standards (laser tracker, CMM, vision), and oversee checking fixtures and gauges. Define the DFMA sign-off crit

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role As Lead Manufacturing Engineer, Joining, you'll be Mach's go-to expert on how our vehicles are held together: when to bolt, rivet, bond, or combine methods. You'll own torque tooling and adhesive dispense standards in Mach's prototype factory. That means selecting, buying and deploying the tools our technicians use to build every vehicle, and making sure each joint is tightened right, every torque curve is reported, and every bead of adhesive meets profile inspection criteria. You'll push the field forward through research and development (R&D) on new materials, hardware and processes; from designing experiments, to building test articles, partnering with suppliers and moving what works into production. This is a hands-on technical leadership role with direct reports. This role will work closely with Design Engineering, Vehicle Assembly ME, Prototype Factory operations, Quality, Supply Chain and Production to achieve overall production ramp goals across Mach’s factories. Key Responsibilities Own the Joining DFMA guide Write, publish and maintain Mach's Joining DFMA guide. It should cover: design rules, with the reasoning and test data behind them preferred fasteners, adhesives and joining processes standard joint features and tolerance

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. The NAND Component Applications Engineer team is looking for outgoing technical candidates to join our team. Senior NAND Applications Engineers develop and define next generation NAND features and specifications for customers both internal and external. Our team also works with an array of external NAND component customers to train and enable them with the technical details necessary to utilize Micron’s NAND Flash memory. Responsibilities and Duties include, but not limited to: Technical Feature and Specifications: Close collaboration with Design and other Development Engineering teams Development of specifications and technical features for inclusion in Design Data Sheets, Advance/Production Data Sheets, Specification Addendums, Application Notes, Tech Notes, and Technical Collateral for customer training and enablement Product Enablement and Customer Qualification: Technical support to enable product acceptance and use from Sample through Qualification </spa

Our team is seeking to extend the internship of our current AI Research Intern for the TAO (Train, Adapt, Optimize) Multi-Modal Model Development project, recognizing their exceptional performance and strong alignment with the team’s research goals. Their innovative ideas and technical contributions have significantly enhanced our work. Given the rapidly evolving field of multi-modal AI, encompassing vision-language modeling, universal segmentation, and large-scale model training, extending this internship will provide further growth opportunities for the intern while strengthening our team’s capacity to develop scalable, high-impact AI solutions. Embark on an exciting journey with NVIDIA, a global leader in AI and accelerated computing. As an AI Research Intern focusing on multi-modal AI and vision-language model development within the TAO framework in Hanoi/HCM City, Vietnam, you will be at the forefront of advancing cutting-edge machine learning research. You’ll collaborate with a talented team of engineers and researchers dedicated to developing state-of-the-art deep learning models for tasks such as image segmentation, cross-modal understanding, and universal representation learning. This internship offers a unique opportunity to contribute to next-generation AI systems with real-world impact across industries—from autonomous vehicles to intelligent content understanding. What you'll be doing: Develop and fine-tune multi-modal AI models using NVIDIA’s TAO Toolkit and deep learning frameworks. Contribute to the design and implementation of vision-language models (VLMs) and universal segmentation systems. Conduct experiments and benchmarking to evaluate model accuracy, robustness, and scalability. Collaborate with cross-functional teams to integrate your research into production-le

At Zoox, you will collaborate with a world-class, multidisciplinary engineering team spanning AI, robotics, mechatronics, computer vision, and automated testing. Because a robot is in control of the vehicle, you will be constantly challenged to rethink traditional engineering paradigms to design elegant, ultra-efficient hardware systems from the ground up. Working in this agile, forward-thinking environment gives you the unique opportunity to manifest your creativity, push the boundaries of vehicle dynamics, and directly shape the future of autonomous mobility. As a Staff Engineer on the Chassis Actuator team specializing in Steering and Braking Systems, you will hold end-to-end design and release responsibility for the components powering our innovative autonomous by-wire platform. Sitting at the intersection of hardware and software, you will lead the development, execution, and delivery of critical engineering milestones for an active chassis system. You will manage Tier 1 supplier relationships to deliver high-performance hardware and controls software while aggressively meeting cost, weight, timing, and performance targets. Your scope will span from core component development to system integration support and hands-on vehicle-level testing and CAN signal analysis. Working in a highly cross-functional environment, you will bridge the gap between physical hardware and autonomous execution, collaborating daily with Vehicle Integration, Func In this role, you will: Own the product lifecycle of the Zoox Robotaxi steer-by-wire and brake-by-wire systems from initial concept through production, managing the development of mechanical hardware, software, and complex electromechanical systems. Design and release 3D CAD models and 2D drawings with appropriate GD&T for both internal fabrication and external supplier production. Define and manage comprehensive component and system requirements, encompassing mechanical,