Solution Engineering Jobs

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 Realtime Defect Analysis (RDA) Yield Technology team supports advanced DRAM research and development by identifying, analyzing, and reducing manufacturing defects that impact yield and product performance. The team partners closely with engineers across R&D and High Volume Manufacturing to improve process stability, accelerate learning cycles, and drive continuous improvement through data-driven decision making. As an RDA Yield Technology Intern, you will gain hands-on experience with innovative semiconductor processing, defect inspection systems, and advanced analytical techniques. You will contribute to projects focused on experimentation, defect detection, data analysis, and process optimization while collaborating with multi-functional engineering teams. This role is ideal for individuals who are passionate about problem solving, root-cause investigation, and leverausingology to improve manufacturing performance. Responsibilities Analyze experimental process flows and defect inspection data to identify anomalies, investigate root causes, and support corrective actions. Partner with R&D and manufacturing teams to improve yield performance through defect detection, process monitoring, and continuous improvement initiatives. Leverage Artificial Intelligence (AI) and data analytics tools to accelerate defect detection, identify yield-impacting trends, automate routine analysis workflows, and generate actionable insights. Use inline defect signals, statistical analys

Become a part of our caring community Most AI engineering jobs are a thin wrapper around a model API. This role is different. We build the platform that transforms millions of clinical documents into trusted, actionable data. Our systems use large language models (LLMs) to read medical records, extract structured facts, answer complex questions with citations back to the source document, and route ambiguous cases to human experts for review. Our users make decisions that impact real healthcare outcomes, so “good enough” is not good enough. Building AI systems that are accurate, reliable, auditable, and scalable is at the core of this role. As a Senior AI Applied Engineer, you will design, build, deploy, and operate production AI systems used at scale within one of the largest health insurers in the United States. You will own solutions end-to-end, from user experience and APIs to model orchestration, evaluation frameworks, infrastructure, and production operations. Why Join Us Build production AI systems where LLMs are in the critical path, not just demos or proofs of concept. Work on extraction, retrieval, agentic workflows, and human-review systems that process real healthcare data at scale. Own projects end-to-end across frontend, backend, AI orchestration, infrastructure, deployment, and operations. Solve challenging problems around accuracy, explainability, traceability, and reliability in regulated environments. Ship quickly in a small, high-impact team that embraces AI-assisted development and rigorous quality standards. Build systems that continuously improve through expert feedback, evaluations, and human-in-the-loop workflows. Key Responsibilities Design, develop, and deploy full-stack AI-powered application

Work Flexibility: Hybrid Position Summary We are looking for a hands-on technical leader who thrives as a true player-coach who is as comfortable solving a difficult technical problem as they are developing the people around them. As Associate R&D Manager for Stryker Foot & Ankle in Ireland, you will help grow a high-performing R&D team focused on designing and delivering innovative orthopedic solutions for surgeons and patients around the world. This role calls for someone with strong mechanical engineering depth, sound product development judgment, and the leadership presence to coach engineers, influence cross-functional partners, and drive projects forward with purpose. You will join a business with a deep commitment to Foot & Ankle innovation, a broad portfolio of advanced medical technologies, and a mission to make healthcare better. If you are passionate about building products, building people, and building something that matters, we want to meet you. What you will do: Technical Responsibilities Lead technical team members in research, design, development, modification and evaluation of modules, assemblies, or subsystems. Apply and mentor others on advanced engineering theories, principles, and concepts. Translate user needs to design inputs/specifications and produce complex system level designs independently. Conduct, design, and select advanced prototyping and testing. Mentor and influence in correction of complex product design issues. Conduct technology exploration and influence application in the business. Develop invention disclosures, patents or trade secrets. Technical / Managerial Responsibilities Execute a robust talent offense by attracting, develo

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 an Intern Product Yield Enhancement (PYE) Engineer at Micron Technology Inc., you will assist in taking next generation DRAM devices from design to mass production! PYE Engineers are crucial partners between Research and Development, Manufacturing, Product Engineering and Global Quality teams. Our goal is to offer hands-on and substantial engineering projects that allow interns to gain valuable experience with memory systems and the product life cycle while adding impact to Micron’s business. Our intern programs help prepare engineers for future roles and offer an extraordinary experience that supplements your academic experience! The PYE Engineering role is critical to Micron as it serves the company's charter to be the most cost-effective producer of DRAM memory while delivering the quality and reliability that customers expect from the Micron brand. This position is for a 3-month internship. Responsibilities: Your job duties will include detailed DRAM electrical and physical failure analysis. Identify defects introduced by the semiconductor fabrication process. You will data mine using statistical analysis, AI assisted engineering tools, and automation workflows. Find the root cause of failure mechanisms, communicating results with Management, Product, Process and Test Engineering teams. Complete 3-month internship. Minimum Qualifications: Must be pursuing a minimum of a bachelor’s degree in Electrical Engineering, Computer Engineering,

IoT Hardware Engineer Build the Future of Smart Connected Devices Join our growing team as an IoT Hardware Engineer and work on exciting IoT solutions that combine electronics, embedded systems, and smart technologies. We are looking for a passionate, hands-on engineer who enjoys designing, building, testing, and improving real-world connected devices. Key Responsibilities: Design, develop, and prototype IoT devices using ESP32 microcontrollers. Develop and integrate firmware, hardware components, and embedded systems. Select and evaluate sensors, actuators, communication modules, and electronic components for IoT applications. Participate in hardware design reviews and product improvement discussions. Assemble, test, and debug electronic prototypes for performance and reliability. Troubleshoot hardware and software issues using professional debugging techniques. Required Skills & Experience: ITI, Diploma in IT Hardware Engineering, Computer Engineering, Electronics, or related field (highly preferred). Strong experience in programming and working with microcontrollers, especially ESP32. Experience with embedded platforms such as ESP32, STM, and similar systems. Knowledge of sensor interfacing using I2C, SPI, UART, and other communication protocols. Excellent PCB soldering skills and experience building complex electronic prototypes. Strong understanding of electronics fundamentals including resistors, voltage levels, power management, and circuit design. Ability to use testing tools such as oscilloscopes and logic analyzers for debugging circuits. Preferred Skills: Experience with KiCad or other hardware design tools. Knowledge of low-power design techniques for battery-operated IoT devices. Understanding of power optimization and embedded system efficiency. Familiarity with Agile development methodologies. Who We’re Looking For: A creative and skilled IoT enthusiast who loves turning ideas into working hardware products. If you enjoy experimenting with e

We are seeking a highly skilled and experienced Design Engineering Head to join our team in Ahmedabad, Gujarat. The ideal candidate will have at least 20 years of experience in the Desalination, Hydro, WTP, STP, and water irrigation industry. As the Design Engineering Head, you will be responsible for leading and managing the design engineering team, overseeing the development of innovative and sustainable solutions, and ensuring the successful execution of projects. This role offers the opportunity to contribute to the growth and success of our organization while working in a dynamic and collaborative environment. Source: Adani Group | Job ID: 53347

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Vanta for Government (V4G) is how we bring that mission to the public sector. As federal compliance undergoes its biggest shift in a decade — FedRAMP 20x, machine-readable authorization, OSCAL — we're building the platform that turns federal frameworks into automated, continuously monitored product experiences. The GRC Subject Matter Experts on this team are the people who make that possible. As Vanta's GRC Subject Matter Expert for V4G , you'll own federal compliance content used by every customer pursuing or maintaining federal authorization on our platform. This is an interpretation-and-authoring role, not a compliance program administration role: your job is to interpret underlying control requirements, identify where FedRAMP modifies or constrains the NIST framework, and translate those interpretations into precise, technically testable guidance that engineering can build and customers can act on. The content you write ships as product — a five-person startup and a Fortune 100 CSP both receive it — so calibrating depth, precision, and universality is the core craft. You'll join Vanta's Security organization, which directly influences product development, facilitates the creation of automated GRC solutions for customers, and provides expert advisory services across the company. What you’ll do as a V4G GRC SME at Vanta: Build and own federal compliance frameworks — Lead the creation, enhancement, and lifecycle management of controls, evidence requirements, and implementation guidance for FedRAMP (Low/Moderate/High), NIST SP 800-53, NIST SP 800-171, CMMC, DFARS, and StateRAMP. Author clear control rationales, acceptance crite

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. We’re looking for someone to oversee internal AI use for non-coding. In this role, you’ll partner with our go-to-market, operations, and technical teams to build and deploy AI functionality to increase efficiency and outcomes. Responsibilities Identify and validate high-impact AI opportunities for internal teams, like Sales, GTM, Finance, HR, etc and build solutions to increase efficiency and outcomes. Train teams to use these tools, monitor usage, and improve as opportunities present themselves. This role will work closely with our CEO Qualifications : 5+ years of product management or engineering experience, including >1 year building AI tools Experience working with GTM teams is a plus [nice to have] Founder experience Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring somethin

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 Senior Software Engineer in the Enterprise AI Engineering team. About the job Twilio is undergoing a major business transformation powered by Enterprise AI, supported by a dedicated engineering team building the foundations for a unified, secure, and scalable operating system across GTM functions (Sales, Support, Operations, etc.) as well as Internal non-GTM functions (Finance, HR, Legal, etc.) Our platform is designed to support a multitude of business functions by deploying intelligent agentic solutions that automate complex workflows and deliver unprecedented user experiences. We're building the future of work at Twilio, and this role offers the opportunity to be at the forefront of enterprise AI innovation. This role focuses specifically on transforming how Twilio's Customer Support organization operates through AI-powered tools and agentic products. We are looking for Full-Stack Engineers who view AI as a fundament

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 Software Engineer in the Enterprise AI Engineering team. About the job Twilio is undergoing a major business transformation powered by Enterprise AI, supported by a dedicated engineering team building the foundations for a unified, secure, and scalable operating system across GTM functions (Sales, Support, Operations, etc.) as well as Internal non-GTM functions (Finance, HR, Legal, etc.) Our platform is designed to support a multitude of business functions by deploying intelligent agentic solutions that automate complex workflows and deliver unprecedented user experiences. We're building the future of work at Twilio, and this role offers the opportunity to be at the forefront of enterprise AI innovation. This role focuses specifically on transforming how Twilio's Customer Support organization operates through AI-powered tools and agentic products. We are looking for Full-Stack Engineers who view AI as a fundamental shif

About the Team The GTM Intelligence Solutions team builds the data and decision systems that help customer-facing teams take the right action at the right time. We combine product telemetry, commercial data, customer context, and field activity to identify account health and opportunity, recommend actions and use cases, deliver intelligence through field-facing products and agent workflows, and measure what happens next. We’re looking for a Data Scientist to help build the next generation of GTM intelligence at OpenAI. You will own a flexible portfolio of high-impact decision data products and work closely with Technical Success and other GTM teams to ensure the work drives better decisions. About the Role As a Data Scientist on GTM Intelligence Solutions, you will define and build the intelligence systems that help customer-facing teams prioritize accounts, identify risks and opportunities, choose interventions, and understand what worked. You will set the roadmap and methodology, build canonical features, ship reliable production workflows, monitor quality and adoption, and improve the systems using field feedback and business outcomes. This role combines hands-on technical depth with strong product and business judgment. You should be as comfortable writing production Python and advanced SQL, defining durable data contracts, and operating decision products as you are evaluating a ranking approach or designing an experiment. You will personally ship reliable first versions and partner with Analytics Engineering and Data Engineering when work requires shared infrastructure or additional scale. In This Role, You Will Set the roadmap and methodology for GTM intelligence and decision products, using deep stakeholder discovery to probe beyond stated requests, uncover the underlying decisions, workflows, constraints, and measures of success, and translate them into measurable systems. Own the full lifecycle of intelligence products, including feature definition, methodo

About the Team OpenAI’s HLS AI Success Engineering team partners with the world’s most ambitious healthcare and life sciences organizations to translate cutting edge AI into real patient outcomes. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery. Our customers range from fast-growing healthcare and life sciences innovators to the world’s largest biopharma, medical technology, healthcare provider, payer, and research organizations. Every engagement is an opportunity to shape how AI accelerates scientific innovation, transforms healthcare delivery, and improves patient outcomes.This role sits at the center of our mission. About the Role The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform. This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high impact use cases that showcase the full value of our platform. You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible impact. This role is based in San Francisco or NYC, with a hybrid schedule of 3 days per week in the office, or can be performed remotely from anywhere in the U.S. We also provide relocation support for new employees. In this role, you wil

About the Team OpenAI’s HLS AI Success Engineering team partners with the world’s most ambitious healthcare and life sciences organizations to translate cutting edge AI into real patient outcomes. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery. Our customers range from fast-growing healthcare and life sciences innovators to the world’s largest biopharma, medical technology, healthcare provider, payer, and research organizations. Every engagement is an opportunity to shape how AI accelerates scientific innovation, transforms healthcare delivery, and improves patient outcomes.This role sits at the center of our mission. About the Role The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform. This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high impact use cases that showcase the full value of our platform. You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible impact. This role is based in San Francisco or NYC, with a hybrid schedule of 3 days per week in the office, or can be performed remotely from anywhere in the U.S. We also provide relocation support for new employees. In this role, you wil

About the Team OpenAI’s User Operations team shepherds our customer’s adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for a leader to build and scale our Support Engineering team, which will collaborate directly with our strategic enterprise accounts, our product and engineering teams, as well as our field teams to solve some of the most difficult technical problems faced by our customers. You will lead one of the best technical troubleshooting teams at OpenAI, and our customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment. You will play an integral role in building knowledge within the team and be part of strategic initiatives for organizational and process improvements. Working directly with our most strategic customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI platform. This team will handle high difficulty situations and issues. The team will be global, providing 24x7 technical coverage for our customers. This will be an opportunity to build this new team from first principles - your leadership will determine the future of this organization. The ideal candidate will have a combination of technical capabilities mixed with strong leadership and systems building strength. This role is based in San Francisco, CA. We use a hybrid work model of 3 days

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. Role Overview We are seeking a Package Reliability Engineer to lead reliability engineering for advanced packages used in high-performance AI and computing systems. The primary focus of this role is to assess package level mechanical and thermal reliability risks and apply thermal and mechanical modeling to optimize package design, material selection, and assembly processes. The engineer will also develop reliability test plans with external partners, identify failure mechanisms, perform root-cause analysis, and recommend practical corrective actions. In this role, you will assess package reliability risks from early architecture development through product qualification and high-volume manufacturing. You will work closely with package design, silicon design, system engineering, manufacturing, and ASIC partners to predict package behavior, develop qualification strategies, resolve reliability issues, and improve overall package robustness and lifetime. In this role you will: Lead reliability test plan and assessments for advanced HPC packages, including risk identification, potential failure-mechanism analysis, root-cause investigation, mitigation planning, and corrective-action development. Drive reliability-focused package design optimization based on thermo-mechanical modeling to improve package reliability, power integrity, thermal performance, mechanical robustness, and platform scalability. Develop, validate, and apply package reliability models and lifetime-prediction