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Software Development Engineer 4 Jobs

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Explore current software development engineer 4 jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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Stripe
📍 Seattle• Full-time• $192K – $288K/yr
1mo ago

Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Build statistical models, define and analyze product and operational metrics, explore experimental design, and construct exploratory analysis with internal data. Work closely with product and business teams to identify important questions and answer them with data. Collaborate with other data scientists, engineers and operations to formulate innovative solutions to experiment and implement advanced data mining techniques. Conduct exploratory analysis on internal data to understand user behavior to inform product development. Drive the collection of new data and the refinement of existing data sources. Apply statistical and machine learning models on large datasets to measure results and outcomes, and identify causal impact and attribution. Predict future performance of users or products. Define, measure, and monitor key outcome metrics for teams and support Stripe’s business. Communicate complex concepts and the results of metrics and analyses in a clear and effective manner through creative visualization. Communicate findings broadly and interact with other teams including product managers, software engineers, marketing, and business development. Who you are Minimum requirements Must have a Master's degree or foreign equivalent in Operations Research, Statistics, Industrial Engineering, Business Analytics, Mathematics or a related field, plus three (3) years of

pythonsqlmachine learning
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1mo ago

About the Team OpenAI’s Compute organization turns ambitious AI research into real-world capability by delivering the compute infrastructure behind our most advanced models. The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient. As the demand for frontier AI grows, so does the complexity of the systems required to support it. Scaling this infrastructure means solving problems that cut across distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery. Our work is focused on expanding the compute foundation that enables OpenAI to train more capable models, including systems like GPT-5.6, and make frontier AI available to more people, products, and workflows. We’re looking for exceptional people across many disciplines to help build the next generation of AI infrastructure at a scale few organizations have attempted. About the Role We are hiring across a broad range of roles to help design, build, scale, and operate OpenAI’s compute infrastructure. Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive compute capacity online. You’ll work with teams across research, engineering, hardware, operations, and infrastructure to solve high-impact problems at extraordinary scale. This may include improving system reliability, accelerating deployment timelines, increasing operational efficiency, designing new infrastructure, or helping bring new compute platforms and facilities from concept to production. This is an opportunity to work on one of the most important infrastructure challenges in AI: building the compute foundation required to train and serve increasingly capable frontier models. Key Responsibilities Help bui

awsrestai
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OpenAI
📍 United States• Full-time
1mo ago

About the Team OpenAI’s Compute organization turns ambitious AI research into real-world capability by delivering the compute infrastructure behind our most advanced models. The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient. As the demand for frontier AI grows, so does the complexity of the systems required to support it. Scaling this infrastructure means solving problems that cut across distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery. Our work is focused on expanding the compute foundation that enables OpenAI to train more capable models, including systems like GPT-5.6, and make frontier AI available to more people, products, and workflows. We’re looking for exceptional people across many disciplines to help build the next generation of AI infrastructure at a scale few organizations have attempted. About the Role We are hiring across a broad range of roles to help design, build, scale, and operate OpenAI’s compute infrastructure. Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive compute capacity online. You’ll work with teams across research, engineering, hardware, operations, and infrastructure to solve high-impact problems at extraordinary scale. This may include improving system reliability, accelerating deployment timelines, increasing operational efficiency, designing new infrastructure, or helping bring new compute platforms and facilities from concept to production. This is an opportunity to work on one of the most important infrastructure challenges in AI: building the compute foundation required to train and serve increasingly capable frontier models. Key Responsibilities Help bui

awsrestai
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O
OpenAI
📍 San Francisco• Full-time
1mo ago

About the Team OpenAI’s Compute organization turns ambitious AI research into real-world capability by delivering the compute infrastructure behind our most advanced models. The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient. As the demand for frontier AI grows, so does the complexity of the systems required to support it. Scaling this infrastructure means solving problems that cut across distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery. Our work is focused on expanding the compute foundation that enables OpenAI to train more capable models, including systems like GPT-5.6, and make frontier AI available to more people, products, and workflows. We’re looking for exceptional people across many disciplines to help build the next generation of AI infrastructure at a scale few organizations have attempted. About the Role We are hiring across a broad range of roles to help design, build, scale, and operate OpenAI’s compute infrastructure. Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive compute capacity online. You’ll work with teams across research, engineering, hardware, operations, and infrastructure to solve high-impact problems at extraordinary scale. This may include improving system reliability, accelerating deployment timelines, increasing operational efficiency, designing new infrastructure, or helping bring new compute platforms and facilities from concept to production. This is an opportunity to work on one of the most important infrastructure challenges in AI: building the compute foundation required to train and serve increasingly capable frontier models. Key Responsibilities Help bui

awsrestai
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O
OpenAI
📍 San Francisco• Full-time
1mo ago

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples' lives. About the Role You will work at the cutting edge of OpenAI's robotics hardware, partnering with hardware and software teams to develop, build, test, and iterate on robotic systems. Working closely with engineers, you will build prototypes, execute experiments, fabricate fixtures, troubleshoot hardware, and help drive rapid iteration on new robotic technologies. Your practical problem-solving and technical judgment will help move projects from concept to reality. We are looking for versatile, hands-on generalists who enjoy solving problems across mechanical, electrical, fabrication, and experimental domains. The ideal candidate will have strong experience in high-velocity and early-stage hardware development environments, provide thoughtful feedback to engineering teams, and help improve both hardware and development processes. This role will help accelerate robotics development by enabling fast, high-quality iteration on new hardware concepts and systems. This role is based in San Francisco, CA, and is in-person 5 days a week. In this role, you will: Partner closely with engineers, researchers, and other members of the robotics team to support prototype development, experimentation, and hardware iteration. Build, modify, troubleshoot, and repair robotic systems and electromechanical assemblies spanning structural, electrical, sensing, and actuation subsystems. Design and fabricate fixtures, adapters, test equipment, and other prototype hardware that accelerate development efforts. Execute low-volume builds, engineering changes, and rework activities acro

awslinuxrest
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Hp
📍 California• $147.1K – $230.9K/yr
16 days ago

Supply Chain AI Technical Program Manager Description - Job Summary • This role is responsible for leading hands-on technical program management during analysis, design, development, testing, implementation, and post-implementation phases of an AI or software feature, solution, or product. The role drives the orchestration of various technical projects and fosters innovation through effective leadership, communication, and technical acumen. The role serves as a bridge between technical teams and business stakeholders, driving the successful execution of technical projects that contribute to the organization's strategic objectives. Responsibilities • Plays a critical role in the planning and execution of the organization's most complex and visible AI projects or programs in support of the continuing evolution of the organization's AI products. • Partners across functions to prioritize, plan, track and execute complex, cross organizational programs while maintaining focus on building high quality programs. • Defines the overall AI vision, strategy, and roadmap to address the problems/opportunities in collaboration with product managers and engineers. • Reaches across functions or departments to mitigate program risks and resolves issues that affect release, scope, schedule, and quality. • Engages with executive leadership and other stakeholders to provide updates, gather requirements, and manage expectations. • Allocates resources, including personnel and budgets, to ensure project teams have the necessary support to achieve objectives. • Ensures that project deliverables meet established quality standards and are aligned with business and technical requirements. • Demonstrates a comprehensive understanding of concepts and principles within own job family and knowledge of other related job families. • Interpret

aiproject managementsupply chain
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Work Flexibility: Onsite ​​​ Schedule 1st Shift: Mon – Fri, 8am – 5pm Overtime based on business needs What you will do As the Senior EMC & RF Test Technician, you will contribute to global regulatory compliance efforts through the execution of testing activities, development of in-house laboratory capabilities, and support of projects that ensure products meet evolving international product safety and EMC standards.​​ ​​​Perform and document electromagnetic compatibility (EMC) and radio frequency (RF) testing on new and existing medical devices to demonstrate compliance with applicable domestic and international standards. ​Operate, maintain, troubleshoot, and verify EMC and RF laboratory equipment, including shielded rooms, EMC chambers, antennas, receivers, signal generators, amplifiers, and associated test instrumentation. ​Configure, build, modify, and verify product test setups and support equipment to meet EMC and RF testing requirements. ​Support the development, expansion, and continuous improvement of in-house EMC and RF testing capabilities to meet evolving technology and compliance requirements. ​Collaborate with engineering teams to develop test strategies, execute compliance testing, and support product development activities. ​Investigate, troubleshoot, and document test failures, observations, and anomalies, communicating findings and recommendations to engineering and project teams. ​Create, update, and maintain test procedures, protocols, job-aids, work instructions, and laboratory documentation in accordance with quality system requirements. ​Evaluate, recommend, procure, and maintain laboratory equipment, software, and tools necessary to support current and future EMC and RF testing capabilities. ​Identify and implement improvements t

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18 days ago

F-22 Lead System Designer Company: The Boeing Company The Boeing F-22 Raptor team is seeking a Lead System Designer in Berkeley, MO to join the F-22 Raptor Mission System Design Team with a focus on developing cutting edge engineering solutions to continue to advance the world’s premier air superiority fighter, located in Berkeley, MO. The Lead System Designer will interact directly with customers, suppliers, partners, program management, integration, software, and test engineers. The selected applicant will be a member of a geographically dispersed, high-performing, collaborative team, and must be self-motivated with a strong work ethic, excellent time-management, and strong communication and interpersonal skills. The team operates in the Scaled Agile Framework (SAFe) to support all aspects of product development. The applicant will be expected to actively help the team to continuously improve and develop innovative and creative solutions to products and processes and to coach the team in system design best practices. Position Responsibilities: Collaboration with Responsible Engineers, customer technical staff, suppliers, and Lockheed Martin teammates to develop and document complex electronic and electrical system and software requirements for F-22 avionics sub-systems and weapon system architecture Resolve technical issues through coordination with engineering using established processes . . Manage Deliverables by defining plans for risk mitigation, issues, and opportunities; and, monitoring baseline plans to assess project performance, productivity, and lessons learned. Brief customer and program leadership on program status;

recruitment
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We are seeking a mission-driven Developer Relations Manager focused on Foundational AI Research to engage leading academic labs advancing the next generation of AI models, systems, and methods. In this role, you will work directly with top researchers building frontier AI systems, including large language models, multimodal models, reasoning systems, training methods, inference systems, model serving, and scalable AI infrastructure. You will help researchers adopt NVIDIA’s AI and accelerated computing platforms to push the boundaries of model performance, efficiency, and scale. The ideal candidate brings deep technical credibility in foundational AI, strong research engagement experience, and hands-on expertise in either AI inference research or AI training research. What you'll be doing: Serve as a trusted technical advisor to leading academic AI labs working on foundation models, LLMs, multimodal AI, reasoning, training, inference, and AI systems. Identify high-impact research workloads where NVIDIA software, systems, and accelerated computing platforms can advance model performance, scale, and efficiency. Engage principal investigators, postdocs, graduate researchers, and lab leadership to understand research goals, technical blockers, infrastructure needs, and collaboration opportunities. Track frontier AI research across papers, benchmarks, open-source projects, and academic labs to identify emerging trends and future platform opportunities. Partner with Research Account Managers, Solution Architects, Product, Engineering, and Business Development teams to support researcher adoption and long-term engagement. Represent researcher needs internally by translating academic feedback into actionable insights for product roadmaps, developer programs, education, and platform strategy. Support NVIDIA participation in major AI, ML, and systems research venues through technical content,

machine learningai
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M
19 days ago

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Scientist II Role Overview Build and productionize enterprise-grade AI and Generative AI solutions for Mastercard. This role combines strong software engineering with model fine-tuning, Databricks-based ML engineering, AWS deployment, and end-to-end MLOps. Key Responsibilities Design, develop, test, and maintain scalable AI/ML applications, APIs, and reusable engineering components. Fine-tune and evaluate foundation models using techniques such as LoRA, QLoRA, PEFT, and supervised fine-tuning. Build RAG solutions, embeddings workflows, vector-search applications, and AI agents. Create end-to-end ML pipelines for data preparation, training, evaluation, deployment, monitoring, and retraining. Use Databricks, PySpark, MLflow, Unity Catalog, Workflows, Vector Search, and Model Serving for governed model development and operations. Implement CI/CD, automated testing, observability, model monitoring, and production support practices. Partner with data science, engineering, product, security, privacy, and governance teams to deliver reliable and responsible AI solutions. Required Skills & Experience 3–4 years of experience in AI/ML engineering, software engineering, data science, or a related field. Strong Python, SQL, object-or

pythonsqlaws
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Graphcore Director-Post Silicon Validation (Functional) Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, Texas which will play a central role in Graphcore's work building the future of AI computing. We are developing the next generation of AI compute, a large-scale system-on-chip (SoC) designed to power future high-performance AI systems. Job Summary We have an exciting opportunity to be part of a collaborative, cross-functional development team validating cutting-edge, high-performance AI chips and platforms. You will play a key role in supporting new product introductions and validation. You will lead a team delivering post-silicon validation across the full AI SoC, working across silicon, firmware, and platform levels. The role requires a deep technical understanding, strong hands-on debug experience, and the ability to collaborate effectively with hardware, software, and systems engineering teams. Working within the Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to provide technical guidance to other engineering team members. In this role, you can leverage our experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes. Th

pythongitlinux
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OpenAI
📍 San Francisco• Full-time• Remote
1mo ago

About Team Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of real-world systems to improve people’s lives. About the Role We are looking for a Technical Program Manager to own actuator development and integration from system goals through production readiness. The actuator program spans mechanical, electrical, firmware, harnessing, controls, test, reliability, manufacturing, and supply chain, and needs a TPM who can turn cross-functional decisions into clear scope, executable milestones, and timely decisions. In this role, you will help the team converge on the right technical plan, surface risks early, and deliver reliable actuator systems on schedule. This role is based in San Francisco, CA and requires in-person presence 4 days a week. In this role you will: Drive actuator programs end-to-end, aligning scope, milestones, interfaces, dependencies, and exit criteria across engineering teams. Drive scope lock and technical convergence for sprints, MVPs, and stretch goals while connecting component decisions to system performance. Coordinate actuator development across motors, gears, sensing, electronics, and firmware, and align the electrical and mechanical interfaces that connect actuators to the broader robot. Lead validation planning from early prototypes through engineering validation, reliability testing, and production readiness. Drive tradeoff decisions across cost, quality, performance, schedule, and lead time by collaborating cross-functionally and quantifying impact to meet program deliverables. Establish effective mechanisms for technical reviews, change control, design releases, decision tracking, and manufacturing readiness.

REMOTEawsrestai
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P
1mo ago

About Pinecone: Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone’s mission is to make AI knowledgeable. More than 109,000 customers across various industries have shipped AI applications faster and more confidently with Pinecone’s developer-friendly technology. Pinecone is based in New York and has raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Role/Team: As a Technical PMM , you will help developers, software engineers, and machine learning scientists understand how Pinecone enables knowledgeable AI applications. You will accomplish this through messaging and positioning, GTM strategy, launch planning, and enablement for key product features. You will work closely with Product, Sales, Developer Relations, and Marketing teams to ensure our customers understand the value of our platform. Responsibilities: Product Launches & GTM Strategy: Develop launch plans for product releases, align with product teams, and manage GTM execution. Lead core launch teams with cross-functional members (documentation , communications, developer relations, product, growth marketing, etc). Measure customer impact and adoption post-launch, iterating on strategies as needed. Positioning & Messaging: Craft compelling, technically accurate messaging for AI-powered search and retrieval solutions. Build product narratives for enterprise and developer audiences that differentiate Pinecone from competitors. Develop and maintain positioning for new product capabilities Customer & Market Insights: Partner with customers to develop case studies, gathering business impact metrics and architectural insights. Engage in customer interviews and research to refine messaging and identify key value drivers. Content Development & Enablement: Develop internal and external enablement materials, including sales training, pitch decks, and GTM enablement sessi

awsmachine learningai
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Midjourney
📍 San Francisco Bay Area• Full-time• $185K – $225K/yr
1mo ago

About the job Midjourney is an independent research lab exploring new mediums of thought and expanding the imaginative powers of the human species. We are a small, self-funded team focused on design, human infrastructure, and AI. Most of the products we build don’t have obvious precedents. We need product managers who can help teams navigate that uncertainty, make decisions, and turn ambitious ideas into products people can actually use. We’re looking for a Product Manager to help lead that effort. You’ll work closely with design, engineering, and research throughout the product development process, using tools like Claude Code to prototype concepts. You’ll help teams stay organized, make thoughtful decisions, and move projects from early ideation to launch. This is a hands-on role. Some days you’ll be writing product specs, running standups, and coordinating launches. Other days you’ll be interviewing users, reviewing prototypes, or digging into product questions that need deeper investigation. If you enjoy bringing structure to creative work and making it easier for great teams to do their best work, you’ll probably enjoy it here. What you’ll do Own the execution of major product initiatives. Partner closely with design and engineering from early exploration through launch. Write product requirements, manage backlogs, and keep projects moving. Facilitate planning, standups, reviews, and comms between teams. Help teams make informed decisions through UXR, research, and using Midjourney deeply yourself. Go deep on important product questions when needed, whether that means conducting user research, designing experiments, or working through a difficult product tradeoff. Help teams decide what matters most and make smart choices about quality, scope, and speed. You might be a fit if You’ve spent the last several years building software people love to use. You know how to create structure without weighing a team down. You’re as comfortable writing a product spec as you

M
1mo ago

About the role We’re looking for a hardworking, driven individual with superb energy, passion and initiative for growing and managing business. The Enterprise Account Executive role focuses exclusively on formulating and executing a sales strategy within an assigned territory , resulting in revenue growth. We are looking to speak to candidates who are based in Frankfurt for our hybrid working model. What you will be doing Proactively, identify, qualify and close a sales pipeline Strategically prospect into CTOs, Engineering/IT Leaders, & technical end users Build strong and effective relationships, resulting in growth opportunities Partner with our Solution Architects and work closely with the Professional Services team to achieve customer satisfaction Work closely with the enterprise ecosystem partner sales and channel partner to maximize deal sizes Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs What you bring to the table 3+ years field experience of quota-carrying experience in a fast-paced and competitive market with a focus on closing net new logos and expanding accounts. Demonstrated ability to open new accounts and run a complex sales process A proven track record of overachievement and hitting sales targets Ability to articulate the business value of complex enterprise technology Skilled in building business champions Driven and competitive. Possess a strong desire to be successful Fluent in English Must live in territory Things we love Passionate about growing your career in the largest market in software (database) Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales) Familiarity with databases, develops and open source technology a plus Why join now MongoDB prides themselves in the development of each of our new hires & continuous career development Accelerators up to 30% Best in breed Sales traini

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