Cost Engineer Jobs

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. As a Spare s Engineering Engineer, you will: Be a key driver in executing and managing programs within the Spare Engineering function — spanning both Spares Initiatives for Cost, Productivity, Quality and T est W afer management . You will work in a fast-paced semiconductor environment, applying your technical expertise and program management skills to optimize efficiency, control test wafer utilization , align with demand, and deliver measurable results — all while collaborating across global teams and Sites Responsibilities Spares Engineering Lead and execute spare s engineering

SIXGEN’s mission is to deliver agile, mission-ready cybersecurity solutions that empower government and critical infrastructure organizations to stay ahead of advanced cyber threats. We combine innovation, deep expertise, and cutting-edge capabilities to uncover vulnerabilities, protect vital systems, and ensure operational superiority in an ever-evolving digital landscape. POSITION OVERVIEW • Position: Senior Cost Estimator/Analyst • Location : Annapolis Junction, MD • Clearance Requirement: TS/SCI with Polygraph WHAT YOU’LL DO SIXGEN is actively seeking candidates to provide expert cost estimating and analytical support for Department of Defense (DoD) and Intelligence Community (IC) acquisition programs. This role is responsible for developing defensible life cycle cost estimates, performing quantitative analysis, and delivering data-driven recommendations that support strategic decision-making across complex acquisition initiatives. Responsibilities include: • Analyze business, financial, technical, and programmatic data using quantitative, statistical, economic, and engineering methods to support informed decision-making. • Collect, organize, normalize, analyze, and document cost, technical, financial, and programmatic data for acquisition programs. • Develop life cycle cost estimates (LCCE), independent cost estimates (ICE), component cost analyses (CCA), and program office estimates (POE). • Perform analysis of alternatives, business case analyses, cost risk assessments, schedule realism assessments, and cost estimating relationship (CER) development. • Support project teams by providing cost estimating expertise and advising on methodologies, models, and estimating factors. • Prepare, present, and defend cost estimates, analyses, and technical briefings to Program Offices, Program Executive Offices, and other stakeholders. Technology proficiency includes: • Master's degree in Engineering, Operations Research, Cost Estimating, Mathematics, Finance

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. Responsibilities and Tasks: • Establish and improve process condition and technology. • Upgrade process capability and reduce production cost. • Establish and modify process management projects. • Set up process parameters for a variety of semiconductor equipment. • Evaluation, promotion and planning of new equipment / materials. • Abnormal analysis and improvement. About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assi

About the role There’s a wide gap between an agent that works in a demo and one that works across millions of live transactions. Closing it is the job. You’ll embed with the teams and customers who depend on AI — risk, fraud, collections, payments, support, developer experience — and design, build, and ship agentic systems into their production environments. You’ll also help build the platform underneath: Paytm’s AI inference platform (Pi) and the agentic runtime, orchestration, and tooling that lets agents reason, plan, use tools, and run multi-step workflows safely. What you’ll do Embed & deploy Tackle greenfield problems alongside internal teams and customers — scope ambiguous needs and build agents from scratch that fit how they actually work. Own deployments end-to-end: discovery, build, integration, activation, and the tuning that earns trust and adoption. Lead pilots and demos, drive adoption, and clear blockers before they stall a rollout. Build agentic systems Architect agentic systems — reasoning, planning, tool use, memory, multi-agent coordination — that run real workflows with guardrails. Build safe tool-use infrastructure across APIs, databases, and services, with permissioning, sandboxing, and human-in-the-loop. Ship SDKs, patterns, and reusable blueprints so internal teams build and deploy agents fast. Make it reliable Design and run rigorous evals: measure quality, catch regressions, and feed results back into the system. Build observability, tracing, and guardrails that prove agents are safe and keep them safe as models and data drift. Own the multi-model inference your agents depend on (text, voice, code, vision) — latency, throughput, and cost. Lead Set technical direction and standards for agentic systems; mentor engineers and partn

Datadog's Forward Deployed Engineering function is in an active growth phase, and the FDE Lead will play a central role in shaping what comes next. Working in close partnership with the Head of Datadog for Startups and Forward Deployed Engineers, and the existing FDE team, you will help define and expand the FDE framework, build out the structures and processes that allow the team to operate at scale, and extend the program's reach well beyond any single customer segment. This role sits at the rare intersection of sales, execution, program design, and hands-on engineering leadership. You are part field technical leader, part program architect, and part cross-functional connector. You will help determine what the FDE motion looks like at Datadog, contribute to its playbook, and push the boundaries of what the team can deliver. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Evolve and scale the FDE operating model end to end: engagement intake, scoping, sprint delivery, handoff back to account teams, and the success metrics (time-to-value, adoption lift, ARR influence, NPS) and reporting infrastructure that support them. Build out a catalog of FDE offerings spanning observability quickstarts, custom integration development, LLM/AI observability accelerators, CI/CD pipeline instrumentation, and cost optimization deep dives, and contribute to their pricing and business models, including free-to-paid conversion plays, paid deployment packages, and post-deployment success motions. Capture product and feature gaps uncovered during deployments, translate them into structured prioritized briefs, and partner with PM and Engineering to strengthen the field-feedback channel that informs roadmap decisions on a regular cadence. Hire, onboard, an

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics. Responsibilities Build AI agents that autonomously navigate websites and execute complex workflows. Develop browser automation solutions using Playwright, Selenium, or similar frameworks. Design agent architectures leveraging LLMs, tool calling, memory, and planning capabilities. Integrate AI agents with APIs, SaaS platforms, and internal systems. Improve agent reliability through evaluation, testing, monitoring, and guardrails. Optimize agent performance, scalability, and operational cost. Collaborate with product and engineering teams to identify and automate high-value workflows. Stay current on emerging agent frameworks, models, and AI technologies. Experience 3+ years of software engineering experience building production systems. 1+ years experience building agentic workflows. Strong Python programming skills. Experience with LLMs, agent frameworks and browser automation tools. Experience integrating APIs and third-party services. Familiarity with cloud platforms such as AWS or GCP. Startup experience and ability to work in a fast-paced environment is preferred. BS/MS in Computer Science, Engineering, AI, or a related field. Kargo is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualif

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. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing peta-byte scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. If you are a critical thinker with experience in machine learning workflows and LLMs, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. We are seeking a Senior Machine Learning Engineer to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial intelligence systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging AI, Machine learning and Data science. Responsibilities: Model Development & Research: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions. System Design: Architect scalable, reliable ML pipelines that integrate seamlessly with existing backend systems. Innovation & Applied Research: Stay ahead of the curve by exploring emerging algorithms, technologies (such as LLMs and LLM-based applications), and frameworks — critically eva

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Senior Hardware Design Engineer on the Datastore team, you will architect and launch our next-generation, high-performance solid-state storage solutions from concept to global mass production. Collaborating closely with cross-functional architecture, thermal, and joint development manufacturing (JDM) teams, you will pioneer high-speed hardware that directly reduces total cost of ownership (TCO) and energy consumption for our global customers. Your engineering leadership will fundamentally reshape data storage efficiency, transforming cutting-edge high-speed interfaces into reliable, market-ready enterprise products. WHAT YOU'LL DO Own End-to-End Productization: Lead SSD hardware design activities—including schematic design, component selection, and layout reviews—to successfully transition next-generation storage solutions from initial architecture through to mass production. Drive System Interoperability: Design and execute cross-platform interoperability testing across complex server/storage systems and SSDs to ensure seamless integration and industry-leading reliability. Resolve Complex System Trade-offs: Evaluate and optimize critical system-level tradeoffs across mechanical, thermal, power, and signal integrity (SI) parameters to maximize hardware efficiency. Spearhead Root Cause Analysis: Diagnose and resolve complex hardware issues and field escalations by collaborating with diagnostics engineers and e

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. Job Description Summary As an RDA.Metrology Equipment Maintenance Shift Engineer at Micron, you will play a crucial role in a top-notch team dedicated to improving excellence in semiconductor manufacturing. This unique opportunity allows you to: - Participate in a cooperative atmosphere where your efforts have a direct influence on the quality, reliability, and performance of the product. - Lead ambitious initiatives in yield improvement, cost reduction, efficiency enhancement, and risk mitigation. - Apply proven methodologies such as failure analysis, FMEA, 8D, and SPC to identify and resolve process-related challenges. - Implement and coordinate process, equipment, and material evaluations to drive continuous improvement across manufacturing steps. - Manage new process qualifications and collaborate with suppliers to ensure alignment with our quality, cost, and sustainability goals. Different outlooks are highly respected, and we encourage candidates from a range of backgrounds to apply. If you are enthusiastic about solving complex problems and driving meaningful change, we are excited to consider your application. In the position of RDA.Metrology Equipment Maintenance Shift Engineer, you play a key role in ensuring the flawless operation and dependability of brand new semiconductor equipment. Your duties encompass: - Diagnosing and resolving equipment issues through proactive troubleshooting and

P-1563 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started in Bengaluru , India ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale. About the Team We manage the infrastructure efficiency for one of the world's largest data and AI platforms. Operating at massive scale across AWS, Azure, and GCP, our mission is to ensure that every dollar spent on cloud infrastructure is optimized. The MCE team builds the critical tools, frameworks, and automated systems that provide deep cost visibility and ensure maximum resource utilization. We are looking for engineers to help us engineer systems that optimize our footprint as we scale into the hundreds of millions of dollars in cloud spend. The Role As a Senior Software Engineer, you will own the end-to-end design and delivery of high-impact engineering projects. You will act as a primary owner of key system components, handling technical ambiguity, collaborating with stakeholders, and delivering robust, scalable solutions. Your work will directly impact our infrastructure margins by building the next generation of cost attribution, automated resource management, and efficiency tooling. The impact you will have End-to-End System Design : Lead projects from concept to deployment. You will design and build scalable systems that handle high-volume data streams

P-1563 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started in Bengaluru , India ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale. About the Team We manage the infrastructure efficiency for one of the world's largest data and AI platforms. Operating at massive scale across AWS, Azure, and GCP, our mission is to ensure that every dollar spent on cloud infrastructure is optimized. The MCE team builds the critical tools, frameworks, and automated systems that provide deep cost visibility and ensure maximum resource utilization. We aren't just cutting costs; we are engineering systems to scale efficiently as our cloud footprint expands into the hundreds of millions of dollars. The Role As a Staff Software Engineer, you will serve as the technical lead for the Bengaluru MCE chapter. You will be responsible for defining the technical strategy for efficiency projects where the solutions are not yet known. You will lead cross-functional efforts, working with finance and cost team, to tackle massive-scale engineering challenges, ensuring our systems can automatically drive cost efficiency and handle the complexity of global, multi-cloud data processing without compromising on performance or stability. As one of the founding senior engineers of the Bengaluru MCE chapter — a team that has already deliver

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations - Bengaluru, India About the Role The Internal Audit (IA) organization is responsible for delivering high-quality objective and independent assurance over the Company’s key business risks to the Audit Committee and Management in a cost-effective way and consistent with Professional Standards. Reflecting the Company’s core value of continuous improvement, the function is in the process of moving toward wider coverage of ope

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. Responsibilities and Tasks: • Establish and improve process condition and technology. • Upgrade process capability and reduce production cost. • Establish and modify process management projects. • Set up process parameters for a variety of semiconductor equipment. • Evaluation, promotion and planning of new equipment / materials. • Abnormal analysis and improvement. About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assi

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Remote (US East Coast preferred, for timezone coverage) About the team Cloud Infrastructure owns the platform every Synthesia product runs on — AWS, Kubernetes, MongoDB, Temporal, our observability stack, and the vendor and cost relationships underneath them. We're a small, high-leverage team scaling toward a domain-ownership model: small groups that both build and operate the systems they're accountable for. The role We're hiring a dedicated SRE to take real ownership of operational excellence across Cloud Infrastructure. Today, too much critical operational knowledge — vendor relationships, cost management, and incident response — lives with one or two people. Your mission is to take genuine ownership of those domains, make them resilient to any single person, and raise the bar on how reliably we run. This is not simply a ticket-queue or keep-the-lights-on role. You'll own domains end to end: understand them deeply, operate them well, and build the automation and tooling that make them boring . We deliberately pair operational and engineering work so the role grows rather than narrows. What you'll own Incident management & operational excellence — take custody of the incident process: on-call quality, resp

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in Sydney, Australia. 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: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. Design, build