Production Automation Developer Jobs

About the Team DoorDash Labs is an independent innovation hub within DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. Our mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We are a highly senior team composed of former pioneers from a variety of different robotics industries. If you have a passion for applying AI and robotics solutions in a service used by millions of people, then we want to talk to you! Please Note: This role is based in San Francisco, CA, and requires being in-person 5 days a week. About the Role We are seeking a Senior RF Engineer to join our multidisciplinary team developing mission-critical RF/electrical systems for unmanned platforms.This role offers a rare opportunity to gain deep insight into RF design and validation, contributing across the full product lifecycle, from early concept and prototyping through production. In this role, you will apply deep expertise in electromagnetic theory and wireless system design to ensure autonomous platforms operate with exceptional reliability and precision. You will design, optimize and validate RF / mixed-signal PCBAs with a strong focus on interference mitigation, troubleshoot system-level desense, and leverage a thorough understanding of wireless technologies including LTE, 5G NR, Wi-Fi, GPS, and UWB. You’re excited about this opportunity because you will… Lead the development of innovative solutions that span across RF, Mixed signal and mechanical domain. Design RF hardware as well as wireless testbeds to support system validation, and lead the execution and documentation of system-level design and verification Provide expertise, mentorship to partner teams regarding EMI mitigation strategies, and cross-functional debug processes Characterize EMI caused by internal & external aggressors by tracing root causes using EMC probes

About the Team DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better. About the Role We’re looking for a Senior/Staff electrical and firmware engineer who designs the board and writes the firmware for connected consumer and enterprise devices, including tablets, POS systems, peripherals, and emerging robotics applications. In this role, you will take connected devices from ambiguous user or business needs through system architecture, rapid prototyping, board design, firmware implementation, bring-up, field deployment, and production transition. The ideal candidate has a passion for building and shipping reliable hardware at scale and thrives in an environment that demands technical depth and high-quality execution across multiple concurrent programs. This is a build-heavy role on a small, senior team. You’re excited about this opportunity because you will… Own connected devices end to end, including: Own connected devices from an ambiguous product need through field deployment. Work across the hardware and firmware boundary instead of handing work between specialists. Explore uncertain product ideas through rapid prototypes and experiments. Make consequential tradeoffs on a small, senior team with direct exposure to users and field behavior. Key Responsibilities Translate user and business needs into an integrated electrical and firmware architecture. Design compute-based, mixed-signal boards incorporating processors

About the Team DoorDash Labs is an independent innovation hub within DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. Our mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We are a highly senior team composed of former pioneers from a variety of different robotics industries. If you have a passion for applying AI and robotics solutions in a service used by millions of people, then we want to talk to you! Please Note: This role is based in San Francisco, CA, and requires being in-person 5 days a week. About the Role We are seeking a Senior RF Engineer to join our multidisciplinary team developing mission-critical RF/electrical systems for unmanned platforms.This role offers a rare opportunity to gain deep insight into RF design and validation, contributing across the full product lifecycle, from early concept and prototyping through production. In this role, you will apply deep expertise in electromagnetic theory and wireless system design to ensure autonomous platforms operate with exceptional reliability and precision. You will design, optimize and validate RF / mixed-signal PCBAs with a strong focus on interference mitigation, troubleshoot system-level desense, and leverage a thorough understanding of wireless technologies including LTE, 5G NR, Wi-Fi, GPS, and UWB. You’re excited about this opportunity because you will… Lead the development of innovative solutions that span across RF, Mixed signal and mechanical domain. Design RF hardware as well as wireless testbeds to support system validation, and lead the execution and documentation of system-level design and verification Provide expertise, mentorship to partner teams regarding EMI mitigation strategies, and cross-functional debug processes Characterize EMI caused by internal & external aggressors by tracing root causes using EMC probes

About the Team DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better. About the Role We’re looking for a Senior/Staff electrical and firmware engineer who designs the board and writes the firmware for connected consumer and enterprise devices, including tablets, POS systems, peripherals, and emerging robotics applications. In this role, you will take connected devices from ambiguous user or business needs through system architecture, rapid prototyping, board design, firmware implementation, bring-up, field deployment, and production transition. The ideal candidate has a passion for building and shipping reliable hardware at scale and thrives in an environment that demands technical depth and high-quality execution across multiple concurrent programs. This is a build-heavy role on a small, senior team. You’re excited about this opportunity because you will… Own connected devices end to end, including: Own connected devices from an ambiguous product need through field deployment. Work across the hardware and firmware boundary instead of handing work between specialists. Explore uncertain product ideas through rapid prototypes and experiments. Make consequential tradeoffs on a small, senior team with direct exposure to users and field behavior. Key Responsibilities Translate user and business needs into an integrated electrical and firmware architecture. Design compute-based, mixed-signal boards incorporating processors

About the Team DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better About the Role As a Hardware Engineer, Electronics Packaging & Vehicle Integration, you will lead the mechanical architecture, design, and delivery of electromechanical systems for DoorDash’s next-generation autonomous delivery vehicle. You will develop robust packaging solutions for compute, electrical, communications, and sensor-related hardware that operate reliably in demanding real-world fleet environments. This role sits at the intersection of mechanical engineering, vehicle integration, and product reliability. You will partner closely with electrical engineering, PCB design, industrial design, systems engineering, manufacturing, supplier partners, reliability, and operations teams to turn system requirements into durable, manufacturable, serviceable, and cost-effective product designs. You will own designs from concept through launch, including electronic enclosures, housings, mounting systems, seals, connector interfaces, and vehicle-level integration features. Success in this role requires strong mechanical design judgment, practical experience with production processes, and the ability to resolve cross-functional packaging tradeoffs. Responsibilities: Own the mechanical design and release of electronic packaging, housings, enclosures, and vehicle integration solutions in support of program timing and product launch. Design components

This is an exciting opportunity to lead a Software Engineering & DevOps team at Natera, a global leader in precision medicine and genomics testing. As a Senior Manager of the Software Engineering & DevOps team inside our Data Science Production Engineering (DSPE) department, you will have the opportunity to build with Natera's diverse and ultra-large data sets (up to PB size), create software and automation solutions for the most cutting-edge medical diagnostics and genomics applications, and make real impact by delivering reliable, efficient, high performance software products and data/cloud/automation systems to support Natera's Lab Operations and Genetic Counselor/Lab Director teams, and ultimately impact patients' medical outcomes. PRIMARY RESPONSIBILITIES: Leadership Lead a DevOps team, working closely with other DSPE teams, to develop, test, deploy, maintain, and update DSPE's data platforms, cloud platforms, automation systems, and analytics systems Manage the DevOps team, to achieve the timely and efficient delivery of software products and systems with correct and robust functionality. Train and coach team members on new technologies, procedures, and guidelines/best practices. Create and maintain operational visibility (e.g., workload, productivity, etc.) of the DSPE DevOps team. Technical Translate DSPE's business needs and project requirements into technical specifications and implementation plans. Working with DSPE leadership teams, create suitable system architecture and infrastructure design documents that can be efficiently implemented and maintained. Maintain and optimize infrastructure performance, monitoring key system metrics including network I/O, disk I/O, memory allocation, and compute resource utilization. Contribute to key development, testing, deployment, validation, maintenance, and update activities. Quality, Compliance, and Documentation Improve and enforce procedures for work efficiency, quality, and compliance. Lead

This is an exciting opportunity to lead a Software Engineering & DevOps team at Natera, a global leader in precision medicine and genomics testing. As a Senior Manager of the Software Engineering & DevOps team inside our Data Science Production Engineering (DSPE) department, you will have the opportunity to build with Natera's diverse and ultra-large data sets (up to PB size), create software and automation solutions for the most cutting-edge medical diagnostics and genomics applications, and make real impact by delivering reliable, efficient, high performance software products and data/cloud/automation systems to support Natera's Lab Operations and Genetic Counselor/Lab Director teams, and ultimately impact patients' medical outcomes. PRIMARY RESPONSIBILITIES: Leadership Lead a DevOps team, working closely with other DSPE teams, to develop, test, deploy, maintain, and update DSPE's data platforms, cloud platforms, automation systems, and analytics systems Manage the DevOps team, to achieve the timely and efficient delivery of software products and systems with correct and robust functionality. Train and coach team members on new technologies, procedures, and guidelines/best practices. Create and maintain operational visibility (e.g., workload, productivity, etc.) of the DSPE DevOps team. Technical Translate DSPE's business needs and project requirements into technical specifications and implementation plans. Working with DSPE leadership teams, create suitable system architecture and infrastructure design documents that can be efficiently implemented and maintained. Maintain and optimize infrastructure performance, monitoring key system metrics including network I/O, disk I/O, memory allocation, and compute resource utilization. Contribute to key development, testing, deployment, validation, maintenance, and update activities. Quality, Compliance, and Documentation Improve and enforce procedures for work efficiency, quality, and compliance. Lead

About the Team The DoorDash Air team is bringing drone delivery to reality. To make this happen, we’re building a strong electrical team to design high reliability, high power density converters, and fault-tolerant controls electronics. Come join us to build a new class of aircrafts and deploy at scale. DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better. About the Role We're hiring a Manufacturing Engineer to help build the process and tooling behind how our autonomous food delivery platform gets made. You'll work hands-on to bring up our first high-volume drone assembly line—applying DFA and PFMEA to new designs, building out layout and workstations, and specifying the tooling and fixtures that turn a prototype into a repeatable build. You'll spend your time on the shop floor and with suppliers and contract manufacturers, solving the real problems that come up when a line moves from prototype to production: fit and tolerance issues, process failures, tooling gaps, throughput bottlenecks. This is for someone who wants to be in the weeds of execution, who thrives in a fast-moving startup environment, and gets energy from solving hard, hands-on manufacturing problems. You'll get in at the ground floor with the chance to shape how the next generation of food delivery vehicles gets built. You’re excited about this opportunity because you will… Be our first manufacturing engineer for DoorDash Air's first mass-productio

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Responsibilities Key Responsibilities: 1. Production Line Oversight & Continuous Improvement • Monitor production line performance, identify improvement opportunities, and drive initiatives to improve efficiency and quality. 2. Inventory Management & Optimization • Use advanced analytics, scheduling optimization, and reporting tools to strengthen site inventory health and support supply chain stability. 3. Cross-Functional Collaboration • Partner with engineering teams to improve overall inventory performance through business process improvements, scheduling logic development, and data-driven reporting. 4. Visualization & Reporting • Build and implement dashboards and analytical reports to monitor inventory health and provide actionable insights for decision-making. Qualifications: • Strong analytical and problem-solving skills with experience in data visualization tools (Power BI, Tableau preferred). • Knowledge of manufacturing processes and scheduling principles. • Excellent communication and collaboration skills across departments. Preferred Experience: • Background in semiconductor manufacturing or high-volume production environments. • Familiarity with business process improvement and project management methodologies. • Experience in developing automation tools and optimization algorithms. Role Highlights: • Drive digital transformation in manufacturing through automa

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. We are building the next generation of memory design by embedding AI into how circuits are designed, validated, and brought to silicon. We work at the intersection of design, CAD, and data, and we focus on solutions that scale across teams and technology nodes. If you want your work to directly impact silicon outcomes, this team delivers! This role is critical to transforming memory design workflows using AI and automation. You will partner closely with design, layout, CAD, and product teams to reduce manual effort, improve quality, and accelerate time-to-tapeout across memory products. Responsibilities Develop automation solutions for layout generation, floor planning, AMS, and PDN. Create scalable CAD methodologies improving design quality and productivity. Build software frameworks integrating EDA tools and design workflows. Automate analysis, debugging, optimization, and design-space exploration processes. Collaborate with engineering teams to deploy advanced design solutions. Apply AI and analytics to accelerate design convergence and closure. Minimum Qualifications Bachelor's degree in Electrical Engineering, Computer Science, or related field. Five years experience in CAD, layout, AMS, PDN, or EDA. Strong programming skills in Python, Tcl, C++, or similar languages. Experience developing production-quality automation tools and CA

Perplexity is looking for an Infrastructure Engineer to own and improve the backend systems behind our latency-sensitive search stack. You’ll work across high-QPS Rust and Go services, distributed retrieval systems, cloud infrastructure, observability, and deployment tooling. This role combines infrastructure expertise with software engineering. You’ll take systems from design through production operation and use AI-native tools where they meaningfully improve engineering and operational workflows Responsibilities Build and operate scalable, low-latency infrastructure for search serving and retrieval. Design and improve distributed backend systems that handle high request volumes. Debug and optimize Linux systems, containers, networking, and production services. Improve reliability through observability, capacity planning, performance profiling, and incident response. Design, deploy, and operate cloud-native systems, primarily on AWS and Kubernetes. Build internal tools and automation for development, testing, debugging, and infrastructure operations. Improve CI/CD pipelines, release processes, and production rollout safety. Contribute directly to product codebases across Rust, Go, and other systems languages. Own systems end to end, from architecture and implementation to deployment and production operation. Requirements Strong experience with cloud infrastructure, distributed systems, and automation. Deep understanding of Linux internals, performance analysis, and production debugging. Experience building or operating latency-sensitive, high-throughput backend systems. Experience with containers, orchestration, observability, and infrastructure as code. Experience building or maintaining CI/CD systems and release tooling. Fluency in at least one systems language, such as Rust, Go, C++, or Java. Comfort working across infrastructure and application-level code. Strong ownership and the ability to operate effectively in a fast-moving environment. Nice To Have Experie

We are inventors, builders, and doers, passionate and purposeful in the work we do. We have a once-in-a-century opportunity to reinvent personal transportation—and we need your help. As a Systems Integration Engineer for the Manufacturing Test and Diagnostics Engineering team, you will be part of the team that designs, develops, and executes systems and processes related to ECU and vehicle bringup, validation, testing, and troubleshooting. You will help build the next-generation infrastructure and process for testing electrical components, including hardware and firmware, on the Zoox vehicles in Manufacturing. In this role, you will: Design, develop, integrate, deploy, and support tester hardware, test software, and production equipment automation for testing at Manufacturing, supplier end-of-line (EOL), and fleet service. Build test solutions relying on Python (or other higher-level programming language) knowledge and experience with communication protocols (CAN, LIN, ETH) Build intuitive user interfaces using development skills such as React, Tkinter, or others that interface with middleware over API, TCP/UDP, Pub-Sub protocols, or other services. Serve as the first line of defense for electrical and functional issues during testing and other EOL processes, including but not limited to software/firmware, harness, networking (CAN, LIN, Automotive and Standard Ethernet, GMSL, etc.), hardware, and infrastructure issues. Work closely with multidisciplinary engineers to collect and interpret component- and vehicle-level requirements and translate them into scalable system-level validation test scripts and test cases for the vehicle integration process. Design and implement novel test solutions for future manufacturing lines and next-generation diagnostic architectures to support higher-volume production Document test solution hardware and sof

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior Staff Site Reliability Engineer to join our team. This is a hybrid role based in Bangalore, reporting to the Director, Engineering in the Production Engineering and Reliability team in India. You will own the reliability and operational integrity of a global fleet spanning GCP, AWS, and bare-metal infrastructure — building self-healing automation, hardening provisioning workflows, and embedding observability into every layer of the platform. What you’ll do (Role Expectations) Develop production-grade automation in Ansible, Go for bare-metal provisioning, IPMI/Redfish-based hardware lifecycle operations, and autonomous remediation Design and implement fault-tolerant provisioning systems with self-healing and auto-remediation capabilities Develop telemetry pipelines for hardware and system monitoring — integrating metrics, logs, and distributed tracing (Pro

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 We're seeking talented Robotics Software Engineers to expand our robotics data collection and evaluation program. This highly technical role involves designing, implementing, and optimizing software solutions across diverse robotics hardware. You'll work closely and collaboratively with multidisciplinary teams; including software, hardware, research, and operations - to drive advancements in our robotic systems. This role is based in San Francisco, CA, and requires in-person 4 days a week. In this role, you will: Help develop and grow our data collection labs, owning the entire integration lifecycle, from identifying and sourcing new hardware to collaborating with mechanical and electrical engineers on setup, software integration, and operational deployment. Develop innovative robot control interfaces suited to a variety of morphologies, environments, and tasks. Collaborate closely with research and engineering teams to develop automation tools and machinery that facilitate the evaluation of advanced robotic policies. Lead the design and implementation of data collection, visualization, and quality control processes. You might thrive in this role if you: Have 5+ years of professional software engineering experience developing and shipping production-quality systems in robotics or hardware-integrated environments. Have extensive experience integrating and deploying industrial automation systems, off-the-shelf robotics platforms, or custom hardware into production environments. Bring hands-on experience delivering production-quality software

About the Team The Core Network Engineering team owns the end-to-end networking stack that connects OpenAI’s compute infrastructure — spanning global WAN/edge connectivity, data-center networking, and high-performance host/xPU networking used for large-scale training and inference workloads. This team is responsible for ensuring networking is never the bottleneck to model training efficiency, cluster reliability, or fleet expansion. They design and operate the systems that provide predictable, high-throughput, low-latency connectivity across some of the world’s most advanced AI infrastructure. About the Role We’re looking for engineers to help build and operate the networking foundation behind OpenAI’s frontier AI systems. Depending on your background and area of focus, you may work across host networking, datacenter fabrics, or global WAN infrastructure. The problems span low-level systems software, distributed infrastructure, protocol readiness, observability, performance engineering, automation, and large-scale network operations. You’ll work on systems where microseconds of latency, tail performance, and network reliability directly impact model training efficiency and production serving performance. This role is ideal for engineers who enjoy operating close to the hardware/software boundary and solving performance-critical infrastructure problems at massive scale. In this role, you will: Design, build, and operate networking systems that support large-scale AI training and inference infrastructure Improve performance, reliability, and scalability across host networking, datacenter fabrics, and WAN systems Develop automation for provisioning, configuration management, validation, upgrades, and lifecycle management of networking infrastructure Build tooling and observability systems for network health, performance analysis, debugging, and automated remediation Optimize network performance across technologies such as RDMA, RoCE, InfiniBand, Ethernet, and high-perf