Experienced Systems Engineer Jobs

About the Team: OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role OpenAI is developing custom silicon to power the next generation of frontier AI models. We’re looking for experienced Design Verification (DV) Engineers to ensure functional correctness and robust design for our cutting-edge ML accelerators. You will play a key role in verifying complex hardware systems—ranging from individual IP blocks to subsystems and full SoC—working closely with architecture, RTL, software, and systems teams to deliver reliable silicon at scale. In this role you will: Own the verification of one or more of: custom IP blocks, subsystems (compute, interconnect, memory, etc.), or full-chip SoC-level functionality. Define verification plans based on architecture and microarchitecture specs. Develop constrained-random, directed, and system-level testbenches using SystemVerilog/UVM or equivalent methodologies. Build and maintain stimulus generators, checkers, monitors, and scoreboards to ensure high coverage and correctness. Drive bug triage, root cause analysis, and work closely with design teams on resolution. Contribute to regression infrastructure, coverage analysis, and closure for both block- and top-level environments. You might thrive in this role if you have: BS/MS in EE/CE/CS or equivalent with 3+ years of experience in hardware verification. Proven success verifying complex IP or SoC designs in industry-standard flows Proficient in SystemVerilog, UVM, and common simulation and debug tools (e.g., VCS, Questa, Verdi). Strong knowledge

About the Team At OpenAI, we’re building safe and beneficial artificial general intelligence. We deploy our models through ChatGPT, our APIs, and other cutting-edge products. Behind the scenes, making these systems fast, reliable, and cost-efficient requires world-class infrastructure. The Caching Infrastructure team is responsible for building a caching layer that powers many critical use cases at OpenAI. We aim to provide a high-availability, multi-tenant cache platform that scales automatically with workload, minimizes tail latency, and supports a diverse range of use cases. We’re looking for an experienced engineer to help design and scale this critical infrastructure. The ideal candidate has deep experience in distributed caching systems (e.g., Redis, Memcached), networking fundamentals, and Kubernetes-based service orchestration. In This Role, You Will: Design, build, and operate OpenAI’s multi-tenant caching platform used across inference, identity, quota, and product experiences. Define the long-term vision and roadmap for caching as a core infra capability, balancing performance, durability, and cost. Collaborate with other infra teams (e.g., networking, observability, databases) and product teams to ensure our caching platform meets their needs. You Might Thrive In This Role If You: Have 5+ years of experience building and scaling distributed systems, with a strong focus on caching, load balancing, or storage systems. Have deep expertise with Redis, Memcached, or similar solutions, including clustering, durability configurations, client-side connection patterns, and performance tuning. Have production experience with Kubernetes, service meshes (e.g., Envoy), and autoscaling systems. Think rigorously about latency, reliability, throughput, and cost in designing platform capabilities. Thrive in a fast-paced environment and enjoy balancing pragmatic engineering with long-term technical excellence. About OpenAI OpenAI is an AI research and deployment company d

About the Role: We are looking for a Trade Operations Engineer to join our operations team at NK Securities. This is a hands-on role where you'll help make sure our trading systems are ready every day. You’ll work closely with our tech and trading teams to keep things running smoothly. This is a great opportunity for someone who wants to learn, grow, and take on more responsibility over time. You will be trained by experienced team members and have the chance to lead the operations team in the future. What You’ll Do: Perform daily system checks and ensure everything is running fine before markets open Monitor trading systems and raise alerts if anything looks off Write and improve scripts (mostly in Bash and Python) to reduce manual work Coordinate with tech and trading teams for any issues or updates Work on frontend tools if needed (basic web frontend knowledge is a plus) Take ownership of tasks and make sure nothing is missed What We’re Looking For: Good knowledge of Bash and Python Basic understanding of frontend (HTML/JS/CSS or React is a bonus) Willingness to learn and work hard Responsible and reliable – our systems need to be up and running on time Someone who likes solving problems and automating boring stuff Freshers or candidates with 0–2 years of experience are welcome Why Join Us: Work in a fast-paced and exciting HFT environment Learn directly from experienced developers and traders Opportunity to grow into a leadership role in the ops team Flat team structure – your work will be noticed and appreciated Competitive salary and good learning curve

About the Team Come help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on experienced engineers to help us further our 24x7, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers. About the Role The Data User Platform and Programs team works at the intersection of data infrastructure, reliability, governance, developer tooling and AI systems, supporting thousands of internal data users including engineers, analysts, data scientists and business stakeholders. This role is part of a founding engineering team in India, offering high ownership, strong growth opportunities, and direct influence over the platform’s long-term architecture. You will work on systems such as: Platform foundations for reliability, observability, cost-efficiency and compliance A unified data discovery and catalog experience AI-powered assistants and workflows for analytics and operations You will collaborate closely with product managers, data engineers, and analytics teams to deliver solutions that reduce friction and increase trust across the data ecosystem. You’re excited about this opportunity because you will… Improve scalability, performance, and reliability of data platform services through strong engineering practices Build and operate data discovery and metadata platforms that help users find the right datasets, dashboards, and metrics quickly and confidently Develop AI-enabled services and workflows, including self-serve tooling for creating, evaluating, and improving AI assistants Add observability, monitoring, and operational tooling to maintain platform SLAs and reduce incident response time Drive cost-efficient data platform design by identifying underutilized, redundant, or idle datasets, services, and compute resources Embed cost awareness into the data lifecycle , including: Designing systems that encourage reuse over duplication Instrumenting usage and cost signals in

We're Hiring Senior AI Engineer (Generative AI Azure) Remote Immediate Joiners Preferred Salary: Up to 12 LPA We are seeking an experienced Senior AI Engineer to design, develop, and deploy enterprise-grade Generative AI solutions on Microsoft Azure. The ideal candidate will have strong expertise in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), Azure AI Services, and modern AI engineering practices. Technical Summary • AI & LLMs: Azure OpenAI, GPT-4.x, OpenAI, Prompt Engineering, Prompt Chaining, Function Calling, Structured Outputs, Tool Calling, JSON Schema, Model Evaluation, Guardrails, Fine-tuning Concepts • Agentic AI: Multi-step Reasoning, Planning, Memory Management, Tool Orchestration, Multi-Agent Systems, Human-in-the-Loop Workflows, Reflection, Context Management, AI Observability • Frameworks: Semantic Kernel, LangChain, LangGraph, AutoGen, Azure AI Agent Service • RAG & MCP: Retrieval-Augmented Generation, Vector Search, Semantic Search, Hybrid Search, Embeddings, Knowledge Grounding, Citation Generation, Document Ingestion, Chunking, MCP Architecture, MCP Servers & Clients • Azure Technologies: Azure AI Foundry, Azure AI Search, Azure AI Document Intelligence, Azure Machine Learning, Azure Functions, API Management, Logic Apps, App Service, Container Apps, AKS, Azure Storage, Data Lake Gen2, Azure Key Vault, Azure Entra ID, Azure Monitor, Application Insights, Event Grid, Service Bus • Programming & DevOps: Python, C#, REST APIs, FastAPI, ASP.NET Core, JSON, YAML, Git, Azure DevOps, Docker, Kubernetes • Data Platforms: SQL Server, Azure SQL, PostgreSQL, Cosmos DB, Snowflake, Microsoft Fabric, Azure Databricks, Delta Lake, Vector Databases (Azure AI Search, Pinecone, Weaviate, Milvus, Qdrant) • Security & Governance: Responsible AI, Prompt Injection Prevention, RBAC, Content Filtering, Data Privacy, GDPR, ISO 27001, Azure Key Vault, Audit Logging & Monitoring • Nice to Have: Microsoft Copilo

Location: USA Remote Compensation: $140,000-$160,000 Base Eltropy is seeking an experienced Solutions Engineer who is passionate about helping credit unions create a best-in-class experience for their members through our industry leading AI communications platform. The ideal candidate is a highly skilled customer-facing Solution Engineer to work with our credit union customers as they select, customize, integrate and deploy our innovative SaaS digital conversations platform. Role & Responsibilities: Provide technical expertise to support pre-sales activities, including product demonstrations and presentations to customers. Collaborate with customers, sales, product, internal architecture, engineering and implementation teams to define technical requirements and create solution designs for professional services statements of work. Document agreed scope, technical requirements and development timelines, and ensure that they are communicated effectively to all relevant stakeholders. Work closely with partners and the professional services team to ensure successful delivery of projects on-time, within budget, and to customer expectations. Develop and maintain relationships with clients, acting as a trusted advisor and technical consultant for professional services. Design and plan phased approaches to integrations with banking systems for customers, ensuring that they are compatible with the customer's existing infrastructure. Keep up to date with industry trends and emerging technologies from online banking, CCaaS, and UCaaS providers, sharing knowledge and expertise with the team. Provide technical training and support to customers and internal teams, as required. Continuously monitor and evaluate the effectiveness of solutions and identify opportunities for improvement. What You Offer: Minimum eight years of experience as a Solutions Engineer. Experience with Credit Unions or in financial industry is a plus. Technical acumen to deep dive and demo com

Experienced or Senior Digital CCA Design Company: The Boeing Company Boeing Defense, Space & Security (BDS) seeks a Digital CCA Design Engineer who is a subject matter expert in high-speed digital circuit design , signal integrity analysis , and electrical design to join our time in Huntsville, AL. This position will p lay a vital role in the Patriot Advanced Capability-3 (PAC-3) program, one of the world's most advanced air and missile defense systems. This is your opportunity to work in a dynamic environment where your skills will directly contribute to protecting critical assets and ensuring mission success. If you are passionate about defense technology and want to make a real impact, we want to hear from you! Position Responsibilities: Focus on electrical design, simulation, verification, and validation testing of high-speed printed circuit board design and electronic system Lead product development cycles Collaborate with cross-functional teams, including other engineering disciplines Keeping current on related industry best practices and technological advancements This position requires obtaining a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim U.S. secret clearance Pre Start and final U.S. secret clearance Post Start is required. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement. 3 or more years of related experien

About the team The Applied AI Engineering team is responsible for ensuring the safe and effective deployment of generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our API customers, working to build an effective backlog of frontier AI use cases for their industry and drive them to production through strong technical guidance. As an Applied AI Engineer in the Digital Native segment, you’ll work with industry-leading technology companies like Stripe, Uber, and Reddit to bring new AI capabilities into the products their customers use every day. You’ll partner directly with experienced product and engineering teams to turn frontier model capabilities into new features and agentic experiences. The work combines rapid experimentation with the demands of established products: complex systems, real users, and high expectations for quality and performance. Lessons from these deployments inform OpenAI’s product and research teams. About the role 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 our NYC office. 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: Deeply embed with our most sophisticated and technical platform customers, serving a

NPI Mechanical Quality Engineer Description - As part of the Personal Systems Quality organization, the NPI Mechanical Quality Engineer drives product quality and reliability throughout the NPI product development lifecycle. This role partners with cross-functional teams to evaluate designs, identify and mitigate reliability risks, drive failure analysis and root cause investigations, and implement corrective actions that improve product quality and customer experience. This role provides technical leadership in reliability test development, mechanical design assessment, and Design for Quality and Reliability (DFX) initiatives to ensure high-quality products from concept through production. Strong mechanical engineering expertise, problem-solving skills, and team collaboration are essential for success in this role. *Onsite in Spring office is required 4-days a week Responsibilities: • Provides technical analysis of compute products during NPI Phase through RFQ design proposal reviews, CAD reviews, and DFX product tear downs. • Provides advanced failure analysis, root cause identification, and corrective/preventive actions for reliability concerns and/or issues during development, manufacturing, and field operations. • Proactively addresses customer requests or issues related to mechanical reliability, ensuring timely resolution while liaising with the relevant stakeholders. • Provides consultation to product development architecture teams regarding material component selection, design risk assessment, and associated reliability test plans. • Provides NUD (new, unique, difficult) risk mitigation and test plan development and develops issue prevention. • Actively mentors less-experienced engineers in the field of mechanical reliability and contributes to their growth in the organization. Education & Expe

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. At Micron, we are transforming how the world uses information to enrich life. The High Bandwidth Memory (HBM) Design team develops industry-leading memory solutions that enable advances in Artificial Intelligence, high-performance computing, graphics, and data-center applications. Our engineers collaborate across global teams to deliver innovative memory architectures and semiconductor technologies that power next-generation computing systems. As an HBM Design Engineer Intern, you will work alongside experienced memory engineers and gain hands-on experience in semiconductor design, simulation, verification, and analysis. This internship provides exposure to industry-standard design methodologies, EDA tools, and cross-functional collaboration throughout the product development lifecycle. You will also have opportunities to apply AI-Assisted and AI-Enabled workflows to improve engineering productivity, debug efficiency, and design quality. Responsibilities Assist with the design, simulation, analysis, and verification of HBM memory and logic circuits using industry-standard semiconductor design tools. Support RTL development, circuit implementation, timing analysis, power analysis, and functional validation activities. Develop scripts, automation solutions, and AI-Assisted workflows to improve design productivity, debug efficiency, and design-flow quality. Collaborate with Design, Verification, Physical Design, CAD, and Product Engineering teams on technical reviews, debug activities, and project deliv

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. At Micron, we are transforming how the world uses information to enrich life. The High Bandwidth Memory (HBM) Design team develops industry-leading memory solutions that enable advances in Artificial Intelligence, high-performance computing, graphics, and data-center applications. Our engineers collaborate across global teams to deliver innovative memory architectures and semiconductor technologies that power next-generation computing systems. As an HBM Design Engineer Intern, you will work alongside experienced memory engineers and gain hands-on experience in semiconductor design, simulation, verification, and analysis. This internship provides exposure to industry-standard design methodologies, EDA tools, and cross-functional collaboration throughout the product development lifecycle. You will also have opportunities to apply AI-Assisted and AI-Enabled workflows to improve engineering productivity, debug efficiency, and design quality. Responsibilities Assist with the design, simulation, analysis, and verification of HBM memory and logic circuits using industry-standard semiconductor design tools. Support RTL development, circuit implementation, timing analysis, power analysis, and functional validation activities. Develop scripts, automation solutions, and AI-Assisted workflows to improve design productivity, debug efficiency, and design-flow quality. Collaborate with Design, Verification, Physical Design, CAD, and Product Engineering teams on technical reviews, debug activities, and project deliv

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 SSD Engineering team develops the firmware that powers Micron's industry-leading storage solutions. By combining embedded systems expertise, software innovation, and AI-enabled development practices, the team delivers high-performance, reliable SSD products for client, enterprise, and data center applications. As an SSD Firmware Intern, you will work alongside experienced engineers to develop, test, and improve firmware for Micron's SSD products. This role provides hands-on experience in embedded systems, firmware development, debugging, and AI-assisted engineering workflows while contributing to the performance, quality, and reliability of next-generation storage solutions. Responsibilities Collaborate with firmware engineers to develop, test, and enhance SSD firmware features and functionality. Debug and resolve firmware issues to improve product performance, reliability, and quality. Develop and implement test plans to validate firmware functionality and support product qualification activities. Participate in code reviews and contribute to continuous improvements in code quality and development processes. Document firmware features, updates, and technical information for internal and external stakeholders. Minimum Qualifications 0-2 years of relevant experience through internships, research, coursework, academic projects, or software/firmware development activities. Currently pursuing a Bachelor's degree in Electr

Power Electronics Hardware Engineer Location: Liberty Lake, WA Infinitum is a cutting-edge company committed to pushing the boundaries of innovation in the realm of motors and motor drive systems. Our mission is to deliver sustainable and efficient power solutions that redefine industry standards. We are currently seeking a highly skilled and experienced Power Electronics Engineer to lead our power electronics design and development initiatives. Position Overview: As a Power Electronics Engineer at Infinitum, you will be responsible for the design, development, and optimization of power electronics systems. This role demands a deep understanding of power conversion technologies, a track record of successful product development, and the ability to work with a team of engineers to deliver high-performance solutions. Responsibilities: Power Electronics Design: Design and develop advanced power electronics systems, including converters, inverters, and power supplies, from concept to production. Emphasis on Variable Frequency Drive development and Active Front Ends. System Optimization: Optimize power electronics systems for efficiency, reliability, and performance. Conduct thorough analysis and simulations to validate designs. New Technology Evaluation: Stay abreast of emerging technologies and industry trends in power electronics. Evaluate and integrate new technologies that enhance product performance. Prototyping and Testing: Oversee the prototyping and testing of power electronics systems. Collaborate with cross-functional teams to ensure seamless integration with other system components. Regulatory Compliance: Ensure that power electronics designs comply with relevant industry standards and regulations. Work closely with certification engineering team for certifications as needed. Collaboration: Work closely with cross-functional teams, including hardware and software engineers, to integrate power electronics solutions into overall product architectures. Doc

About the Team Help us build the world's most reliable, on-demand logistics engine for last-mile delivery! We're bringing on experienced engineers to help us create and maintain a 24x7, no downtime, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers. About the Role We also offer “cloud solutions engineering”: we unblock teams across DoorDash with novel or complex cloud needs, from multi-cloud deployments and cross-cloud credential vending to multi-region sFTP. You will partner directly with teams across the company to take a need from an ambiguous request to production, and mature the most common ones into platform products that can be adopted widely. This role sits at the intersection of cloud infrastructure, security, and developer experience. It includes designing, building, and operating systems that must be reliable, secure, easy-to-use, and cost-efficient. You will report to the Engineering Manager of the Cloud Infrastructure team within the Infrastructure organization. This role is hybrid working from our New York City engineering hub. You’re excited about this opportunity because you will… Design and build the foundational cloud platform (account vending, IAM, cloud networking primitives, quotas, infrastructure as code) that every engineering team at DoorDash builds on top of Own the paved path for cloud at DoorDash: make the secure, cost-efficient way the easy way through self-service tooling Partner with product and platform teams to unblock complex or novel cloud use-cases, and turn the recurring ones into platform products Drive cloud-wide initiatives such as multi-cloud, unifying cloud foundations across DoorDash, Deliveroo, and Wolt, cost efficiency, and security posture Set technical direction for the team, mentor engineers, and influence cloud architecture decisions across the company Find ways to improve the team’s productivity and operational capabilities through the use of automation, A

About the Team OpenAI, in partnership with our capital and technology partners, is building a global network of advanced datacenters to support the most demanding AI workloads. The Industrial Compute team ensures that all datacenter systems are manufactured, delivered, and commissioned to the highest standards of quality, reliability, and performance. We work closely with manufacturing partners, engineering teams, and operations staff to ensure that every component is delivered ready for installation, startup, and long-term service. About the Role We are seeking an experienced Quality Engineer (QE) to drive Product and Site Quality initiatives across OpenAI’s infrastructure ecosystem. In this role, you will establish, implement, and manage a comprehensive, quality-focused program across our global supply chain network, ensuring excellence from design through deployment. You will be responsible for end-to-end quality of finished products, as well as maintaining and elevating manufacturing site quality standards. Working cross-functionally with Design (NPI) and Engineering teams, you will help achieve First Pass Yield (FPY), quality, and reliability targets. This includes leading site and fixture validation efforts, driving yield improvement initiatives (Yield Bridge, CPI), and implementing robust corrective and preventive actions (CAPA) to resolve issues at their root cause. In addition, you will play a key role in supplier quality management, assessing and qualifying new vendors, overseeing ongoing supplier performance, and ensuring readiness for future business awards. You will lead vendor audits, monitor key performance metrics, and coordinate corrective actions to ensure predictable delivery schedules, reduced operational risk, and high system reliability. By partnering closely with external suppliers and internal Engineering and Operations stakeholders, you will help ensure OpenAI’s datacenter infrastructure is delivered on time, meets the highest quality standa