Lead Software Development Engineer Jobs

About the Team Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop modern growth and personalization models that power DoorDash's growing retail and grocery business. About the Role We’re looking for a passionate Applied Machine Learning expert to join our team. As a Staff Machine Learning Engineer, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the growth and personalization experiences at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make the consumer search experience more relevant, seamless, and delightful across grocery, convenience, and many other retail categories. You will demonstrate a strong command of production level machine learning, experience with solving end-user problems, and collaborate well with multi-disciplinary teams. You will report into the engineering manager on our Personalization team. We expect this role to be hybrid with some time in-office and some time remote (#LI-Hybrid). You’re excited about this opportunity because you will… Develop production machine learning solutions to build a world class personalized shopping experience for a diverse and expanding retail space Partner with engineering and product leaders to help shape the product roadmap applying ML Mentor junior team members, and lead cross functional pods to create collective impact You can find out more on our ML blog here We’re excited about you because you have… 8+ years of industry experience developing machine learning models with business impact, and shipping ML solutions to production. Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring an

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role We are seeking a Senior Privacy Engineer to lead the design and implementation of privacy controls across software, cloud, AI, and connected device platforms. The Privacy Engineer will work closely with Design, Product Security, Legal, Compliance, and Product Management teams to ensure personal data is collected, processed, stored, and shared in compliance with applicable privacy regulations, including GDPR, CCPA/CPRA, and other global privacy frameworks. Responsible for establishing and leading privacy engineering practices across the organization, driving privacy-by-design adoption, defining technical privacy strategy, and overseeing privacy risk management for products, services, cloud platforms, AI systems, and connected devices. The ideal candidate combines strong technical expertise with a deep understanding of privacy regulations and privacy engineering practices. What You Might Do Implement Privacy by Design and Privacy by Default principles throughout the software development lifecycle. Conduct privacy impact assessments (PIAs), data protection impact assessments (DPIAs), and

About the Job: As a Senior Sales Engineer , you will be the technical partner to Account Executives, helping LaunchDarkly land and expand enterprise customers across the Indian market. You will guide technical discovery, deliver compelling demonstrations, lead proof-of-value engagements, and help customers understand how LaunchDarkly enables safer, faster software delivery. This role combines deep technical expertise with strong business acumen and the ability to translate complex technology into real business outcomes. You’ll work closely with engineering leaders, architects, and DevOps teams at large enterprises to help them modernize their software delivery practices. Responsibilities: Partner with Sales to Win Enterprise Deals Work closely with Account Executives to qualify opportunities and develop technical account strategies. Help customers understand how feature management and progressive delivery can transform software delivery. Participate in complex enterprise sales cycles and help secure technical wins. Lead Technical Discovery and Solution Design Engage with engineering leaders, platform teams, and architects to understand their software delivery challenges. Design solutions that demonstrate how LaunchDarkly integrates into modern development environments. Align technical solutions with customer business objectives. Deliver High-Impact Demos and Proof of Value Conduct compelling product demonstrations that highlight real customer value. Lead technical evaluations including proof-of-concepts, workshops, and hands-on trials. Guide customers through the evaluation process and ensure successful outcomes. Build Champions and Trusted Relationships Develop strong relationships with both technical and business stakeholders. Enable customer champions who can advocate for LaunchDarkly internally. Support customers throughout the evaluation process and beyond. Be a Technical Thought Leader Stay up to date on trends in DevOps, CI/CD, feature management, AI-driven d

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are looking for a Localisation Engineer who can join our efforts in continuing to lead the industry in global localization and product translation in Tokyo, Japan. Responsibilities: Innovate localization strategy and lead complex technical projects across their entire lifecycle to continuously optimize processes. Design, build, and maintain a full-stack AI translation platform, including scalable web applications, backend services, and data pipelines. Integrate LLMs into core workflows to drive process automation, enhance content reuse, and support intelligent quality assurance. Establish comprehensive QA frameworks and provide ongoing technical support to ensure the robustness, reliability, and observability of localization pipelines. Manage vendor relationships, overseeing budget planning and ensuring high translation quality standards. Be excellent and think big in building the solution-based approach to offer the best localization at Snowflake. Required Qualifications: Minimum of a Bachelor's degree in Computer Science or related technical field or equivalent practical experience. Strong fundamental computer science skills. Knowledge of algorithms and data structures. 5+ years of experience in software development working with one or more of the following languages:

About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor . Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll do Write the playbook for onboarding and educating customers onto Sierra – both the Agent SDK and Agent Studio, our no-code platform. Lead the creation and execution of developer training and enablement programs. Build content that scales — including technical documentation, educational videos, onboarding paths, and sample repositories for SDK adoption. Develop and deploy AI Agents as an Agent Software Engineer, building the knowledge to become a world-leading expert on agent development. Work with our marketing teams to publish developer case studies and success stories to inspire and connect our growing technical community. One important aspect of this role is presenting educational content to customers, both live and on video. If you have rec

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is on a quest to find a strong Technical Program Manager to lead the end-to-end software development of our next-generation Chiplet based SiP. The scope spans from architecture to tape-out, silicon debug and software productization - across AI, CPU, Memory and I/O Chiplet domains. If you bring strong expertise in silicon development and exceptional Program Management skills - you will thrive in this role. You’ll drive end-to-end software across pre-silicon and post silicon stages - building complex programs, defining program metrics, pushing boundaries and innovating in the AI Supercomputers space This role is Hybrid, based out of Santa Clara, CA, Austin, TX, or Toronto, ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are 10+ years of experience in technical program management or chip-level engineering, with 2+ years in multi-chip/chiplet systems. Familiar with heterogeneous compute architectures (AI, CPU, memory, networking) and early software phases (architecture, pre-/post-silicon). Proven ability to manage 40+ engineer programs, external vendors (PCIe, D2D, Ethernet), and full software stacks from bare-metal to ML frameworks.

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. We are looking for an excellent engineering manager to own and deliver an end to end manageability stack for Data Center Systems. We are seeking an experienced manager who is deeply technical, hands-on, and has a wide system view. You will manage a team of experts, design & build OpenBMC based manageability software stack for NVIDIA’s next generation Data Center Compute Systems. We want to grow our teams with the smartest people in the world. If you're creative and autonomous, we want to hear from you! What you’ll be doing: Own and deliver OpenBMC based manageability stack for next generation Data Center Compute Systems. Own firmware delivered to data centers in terms of quality, reliability and telemetry performance. Manage and lead a distributed team of software engineers to deliver firmware stack with high quality. Work with data center architects and cloud customers for correct requirements and scope implementation to ensure speed of light product development. Work closely with cross functional teams to ensure scalable manageability architecture for all data centers products Drive efficiency, reliability and optimization in firmware architecture from a data center view point. Work closely with customers and internal teams to resolve issues at Speed of Light. What we need to see: BS, MS, or PhD in EE/CS or related field o

About the role: This is an opportunity to join K's critical InfoSec team as a Senior Security Engineer - AppSec and operate with foresight in protecting our infrastructure, applications, cloud security, and customer trust. As a lean team, we span across multiple areas such as AppSec, CloudSec, SecOps, ITSec, and Compliance and apply it towards reading and interpreting architecture, or planning and building out net new security solutions. You will have the autonomy to define and implement cutting-edge security solutions across our entire technical ecosystem, ensuring our innovative work remains robust and compliant against evolving global threats. This role is crucial for establishing and maintaining a world-class security posture, particularly within the sensitive and highly regulated healthcare technology space. What you will do: Lead the development and implementation of robust application security protocols throughout the entire Software Development Lifecycle (SDLC). Partner with engineering teams to incorporate security into architecture, design, development, testing and deployment Perform hands-on security testing of web applications, APIs, cloud-native services and supporting infrastructure Build and improve automated security testing within CI/CI pipelines, including static analysis, dependency scanning, secrets detection, container scanning and dynamic testing Evaluate effectiveness of application security tools, improve tooling output quality and reduce unnecessary findings and developer friction Develop secure coding standards with developer-focused documentation Contribute application security expertise to vulnerability management, during security incidents/investigations and post-incident reviews Evaluate third party applications, libraries and APIs and integrations for security risk Ensure adherence to relevant healthcare regulatory and compliance requirements (e.g., HIPAA, GDPR, etc.) across all product lines and systems. What we're looking for: 4+ yea

About HopSkipDrive At HopSkipDrive, our mission is to create opportunity for all through mobility. We're the leader in safe, fast, and simple supplemental student transportation. Through our marketplace, we connect kids to highly-vetted caregivers on wheels. Through our software, we solve the biggest transportation challenges facing schools and school districts across the country. Founded by three moms as a solution to their own transportation challenges, we've now facilitated more than five million rides across over over 20states. We continue to grow rapidly — earning a spot on the Inc. 5000 list numerous times and the Deloitte 500 Fast-Growing Technology list. HopSkipDrive is a Series D company and has raised $100M to date. How we work We use AI every day, and not as a productivity add-on. It's woven into how we work at every level. We're rethinking how work gets done, who does what, and what a small team can accomplish. If you've already built AI into how you work, you'll hit the ground running. If you haven't, you'll need to be ready to learn fast and work differently than you have before. We're remote-first, mission-driven, and built for people who want to do work that matters with people who hold a high bar. Who We Are Platform & DevOps is a team that builds the platform that HopSkipDrive Engineering ships on: cloud infrastructure, CI/CD, test infrastructure, and the AI coding-agent tooling used by our product teams. Our engineers use coding agents every day, and this team makes the path from pull request to production as fast and safe as possible. This role will: Lead and grow a team of Platform and DevOps engineers. Set direction, coach, hire, and stay hands-on for part of your week. Own our AWS platform end-to-end: infrastructure as code, Kubernetes, CI/CD, environments, observability, incident response, and cloud cost. Lead the practice of Agentic Software Development Lifecycle (ASDLC) to ensure these AI tools remain safe

Join a pioneering team at the forefront of financial technology innovation. We are building a cutting-edge, agentic AI platform designed to revolutionize the end-to-end credit risk model development lifecycle. By leveraging the power of Large Language Models (LLMs) and intelligent workflows, we aim to augment our quantitative modelers, dramatically increasing their productivity, enhancing model governance, and accelerating the delivery of critical risk models. We are seeking a senior, hands-on technology leader to drive this transformation. In this role, you will partner directly with quantitative analysts and key stakeholders to shape the most impactful use cases and then lead a team of talented developers to design, build, and deploy the generative AI platform that brings this vision to life. Key Responsibilities Strategic Vision & Stakeholder Partnership: Collaborate closely with quantitative model developers, Model Risk Management (MRM), and business leaders to deeply understand their pain points and translate them into a technical vision and product roadmap. Identify, scope, and prioritize use cases for the agentic workflow platform, ensuring they deliver measurable value and align with strategic objectives. Serve as the primary technical liaison between the engineering team and its users, ensuring a tight feedback loop and continuous alignment. Platform Design & Hands-On Development: Lead the architectural design of a scalable, robust, and secure agentic AI platform, including core components for orchestration, knowledge retrieval (e.g. RAG), and tool integration. Engage in hands-on software development to build foundational components, create proofs-of-concept, and tackle the most complex technical challenges. Design and implement secure integrations with internal data sources, external APIs, and various LLMs, ensuring compliance

About the Team DoorDash Labs is a team within DoorDash building autonomous delivery robots and other autonomy solutions from the ground up for DoorDash's core delivery platform. If you have a passion for applying autonomy and robotics in a service used by millions of people daily, then we want to talk to you. About the Role As an Autonomy software TPM at DoorDash Labs you will play a central role within the robotics team at DoorDash Labs as we scale and optimize last-mile deliveries using autonomy. You will report to the manager of our growing Technical Program Management team and will interface with autonomy teams, software, safety, and operations teams on a daily basis to drivie our autonomy stack capabilities forward. This role can be remote, with some amount of travel to our different deployment areas. You're excited about this opportunity because you will… Be part of an exciting effort to develop and manufacture an autonomous delivery robot Work with our autonomy software teams to deliver meaningful, new autonomy features Program manage and help lead development for our software stack within Perception, Planning, Localization, System Safety, Simulation and Remote Assistance Drive completion of autonomy features from requirements or engineering concept to validated public roads driving Work with leaders and engineers across Autonomy, Software, Product, QA, and Ops to plan, track, follow up and resolve issues We're excited about you because you have… In-depth understanding of autonomy and autonomy feature validation strategies in simulation, closed course testing, and on public roads 8+ years of industry experience working in engineering and/or program management In-depth experience with the software development life cycle Demonstrated success taking software products or features from concept to production A track record of managing complex, cross-functional programs with significant ambiguity The ability to operate from a deep technical level all the

Systems Technology Inc. (STI) is a private, employee-owned company (ESOP) that provides engineering consulting and product development with a focus on safety. We are a small company that enjoys many of the perks of start-ups, but we have been in business for over sixty years and have an aggressive growth plan. Being part of STI means being a key contributor in the company while working with a team that spans the range of experience from recent graduates to 20+ year tenure. At STI, we look for business partners who want to be part of something special and contribute to a culture built on transparency, friendliness, innovation, ownership and accountability. If you are of a like mind and enthusiastic about solving challenging, real world, relevant problems, we would love to hear from you. As a 100% employee-owned company, STI understands that employees' individual and collective hard work and dedication will lead directly to the success of the company in the long term. An Employee Stock Ownership Plan (ESOP) gives employees an ownership interest in the company that employs them. What You’ll Do: The Electrical Engineer designs, develops, and validates embedded electronics hardware for aerospace, defense, and advanced autonomy applications. This role spans the full hardware development lifecycle — from requirements capture and schematic design through PCB layout, board bring-up, and fielded system support. You’ll work closely with software and systems engineers, contribute to technical documentation and reporting, and grow into broader program ownership over time. Reports to a Principal Engineer or Engineering Manager. Design complex multilayer PCB assemblies for embedded systems used in aerospace, UAS, and defense applications Develop schematics and manage PCB layout using KiCad, Altium, or similar EDA tools Select and integrate sensors including IMUs, magnetometers, pressure sensors, GNSS receivers, and ADCs Design power supply circuitry including switching regulators

A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU’LL DO • Create and execute automated and manual test cases to ensure optimal system performance according to specifications. • Work closely with software development and support teams to deliver high-quality applications in a timely manner. • Develop and maintain comprehensive test plans, including manual and automated tests for functional, regression, and integration testing. • Build consensus between stakeholders and developers to define clear and testable acceptance criteria. • Document quality assurance and process flows, both existing and proposed. • Advocate for best quality assurance practices and testing techniques. • Ensure any new software changes meet business, legal, compliance, and technical requirements. • Develop and maintain test automation frameworks for various applications in trading domains. • Maintain and track quality assurance capacity, velocity, statuses, and deliverables with the team lead. WHAT’S REQUIRED • 5+ years of experience in quality assurance with test automation, software engineering, or business analysis roles. • Comprehensive expertise in processing trades, managing trading and lifecycle events, handling corporate actions, and managing cash flows. • Experience supporting fixed income products, Equities and Treasuries. • Solid understanding of position management for listed and OTC products. • Understanding of SDLC, Test lifecycle, and testing methodologies. • Experience creating and writing SQL que

Become a part of our caring community Humana is committed to helping people achieve their best health by delivering innovative technology solutions that enable exceptional member and provider experiences. The Director, Segment Quality Engineering is a strategic technology leader responsible for advancing quality engineering practices across a defined portion of Humana’s technology portfolio. Reporting to the AVP, Quality Engineering – Segment, this role will lead teams responsible for delivery quality, test automation, release readiness, and continuous improvement across multiple product and application teams. This leader will work closely with Product, Engineering, Architecture, Platform, DevOps, and enterprise quality partners to embed quality throughout the software development lifecycle and improve release confidence, delivery speed, and production stability. Responsibilities Lead quality engineering execution across a defined portfolio, domain, or set of technology products and applications. Build, develop, and coach high-performing quality engineering teams, including managers, leads, engineers, and SDETs. Drive consistent quality engineering practices across agile teams, with a focus on built-in quality and shared accountability. Oversee quality planning and execution across functional, integration, end-to-end, and regression testing. Partner with Engineering and DevOps teams to support release readiness, validation, and stable production deployments.

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. About Our Team: The Frontend Manufacturing Applications team develops and supports critical software platforms that enable Micron's wafer fabrication and assembly operations. Our team partners closely with manufacturing, product, and engineering organizations to deliver reliable, scalable solutions while advancing the adoption of AI-assisted engineering practices that improve developer productivity and software quality. Position Overview: As a Principal Software Engineer, you will serve as a technical authority responsible for defining architecture, engineering standards, and technical strategy for frontend manufacturing applications. You will lead the organization's AI-assisted engineering initiatives while delivering business-critical software solutions that improve manufacturing efficiency, reliability, and operational performance. Responsibilities: Lead architecture, design, and technical strategy for frontend manufacturing applications and platform modernization initiatives. Design, develop, and support production applications using technologies including .NET, C#, C++, Angular, Python, and related platforms. Establish and govern engineering standards, code review practices, and quality controls, including standards for AI-assisted software development. Evaluate, implement, and operationalize AI development tools, agentic workflows, and engineering productivity solutions across multiple tea