Senior/Staff Safety Engineer

About UsGatik is at the forefront of transforming autonomous middle-mile logistics, providing cutting-edge transportation-as-a-service (TaaS) solutions to streamline B2B supply chains. Our mission is to ensure safe and timely deliveries while alleviating congestion in freight movement. We proudly launched the world’s first fully driverless commercial transpo…

About EarnInAt EarnIn, we are proud to be frontrunners in earned wage access, dedicated to creating innovative products that provide real-time financial flexibility for individuals navigating the challenges of living paycheck to paycheck. Our community members can access their earnings as they earn them, with the freedom to spend, save, and grow their money without incurring mandatory fees, interest rates, or credit checks.Backed by a highly experienced leadership team and supported by prestigious funding partners such as A16Z, Matrix Partners, DST, and Ribbit Capital, we are on a rapid growth trajectory and eager to welcome world-class talent to help us shape the next chapter of our journey.POSITION SUMMARY We are seeking a highly proficient Senior Software Quality Engineer (SDET) to spearhead our comprehensive quality engineering initiatives across mobile, web, backend, and data platforms. This pivotal role blends profound technical acumen with a progressive, AI-centric approach, fostering innovation, scalability, and reliability through advanced automation and intelligent testing strategies. As a senior team member, you will advocate for cutting-edge, AI-driven quality practices and cultivate a culture of continuous improvement, automation-first thinking, and data-informed decision-making throughout the product development lifecycle. This position is hybrid, based in Mountain View (Headquarters), requiring in-office attendance twice a week. The competitive salary range for this full-time role is between $210,000 and $257,000, plus equity and comprehensive benefits. Our salary ranges are determined by role, level, and location. EarnIn offers exceptional benefits for our team members, including healthcare, internet/cell phone reimbursement, and a learning and development stipend.Quality Engineering & TestTake ownership of end-to-end quality across iOS and Android applications and their associated backend services, ensuring a high level of confidence in weekly (or more frequent) releases.Design and implement thorough test strategies encompassing:Native mobile applications (iOS & Android)Mobile-to-backend integrations (REST APIs, authentication flows, event-driven systems)Microservices and distributed systemsEssential web workflows that intersect with mobile journeysDevice, OS, browser, and network variabilityApp lifecycle events, offline behavior, retries, and edge cases...

Join Our TeamAre you passionate about pioneering projects that harness advanced AI technology to unlock significant benefits from meetings and conversations? Become a vital member of our core AI team at Otter.ai, where you will collaborate with seasoned scientists and engineers dedicated to machine learning. As a Senior Machine Learning Engineer, your expertise in software engineering will be crucial in scaling and refining our machine learning systems. You will play a key role in transforming innovative research into production-ready features that enhance Otter’s summarization and conversational intelligence products.Your ContributionsDesign, construct, and advance extensive SID / ASR / NLP / LLM systems that drive essential product experiences, including summarization, chat, and speech comprehension for millions of interactions.Lead the creation and execution of training, fine-tuning, post-training, and inference methodologies for large language and speech models utilizing PyTorch and/or JAX while balancing quality, latency, cost, and dependability.Innovate and enhance model architectures, loss functions, decoding techniques, and training methodologies for speech and language models, guided by research insights and production restrictions.Oversee the entire ML system lifecycle, from initial research prototyping to production deployment, continuous monitoring, iteration, and long-term maintenance.Collaborate closely with product and infrastructure teams to translate groundbreaking research into scalable, production-grade systems that yield measurable user and business outcomes.Champion system-level enhancements in model performance, robustness, observability, and operational excellence using real-world conversational data.Establish technical direction and best practices for ML infrastructure, data pipelines, evaluation frameworks, and deployment workflows within a cloud environment.Diagnose and resolve complex issues related to model behavior, data quality, scalability, and system interactions, often preemptively before they affect users.Mentor and uplift fellow engineers, contributing to team standards, evaluating designs, and fostering a culture of sound technical decision-making and execution.

Waymo, an innovator in autonomous driving technology, aims to be the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility while preventing countless lives lost to traffic accidents. The Waymo Driver is the backbone of our fully autonomous ride-hail service, applicable to various vehicle platforms and product use cases. With over ten million rider-only trips under its belt, the Waymo Driver has autonomously navigated more than 100 million miles on public roads and engaged in extensive simulation across 15+ U.S. states.The Waymo Onboard Infrastructure team is responsible for the low-level software and infrastructure supporting various components of the Waymo self-driving system. Our work encompasses everything from low-level system software to high-bandwidth data logging, inter-process communication (IPC), performance analysis, and comprehensive system debugging. Collaborating closely with Hardware, Compute, Sensor, Perception, Behavior, and Machine Learning teams, we strive to build the most efficient and low-latency self-driving solution in the industry.As a member of the System Software Team, you will concentrate on the Telematics unit—the essential Linux-based gateway that manages all data flow in and out of the autonomous vehicle. This role involves critical functions such as real-time diagnostics, over-the-air (OTA) software updates, and high-bandwidth telemetry. You will play a pivotal role in developing, securing, and maintaining the connectivity infrastructure that drives the continuous operation and improvement of Waymo's fleet.In this role, your responsibilities will include:System Software Development: Collaborate with a dedicated team of System Software and Linux Kernel Engineers to design, develop, and deploy production-grade system software components for driverless vehicles, from initial prototyping through to launch.Linux OS Ownership: Manage and enhance the operating system of the Telematics unit, which includes the Linux kernel, device drivers, and core OS services.Networking & Connectivity: Develop and implement robust, high-performance networking solutions that ensure reliable data transfer over Wi-Fi and cellular modems.Infrastructure & Testing: Create and apply a comprehensive testing methodology and infrastructure to verify the reliability and security of low-level software while facilitating seamless updates across the fleet. Utilize automated testing of hardware to validate low-level hardware-software systems.Cross-Functional Problem Solving: Effectively collaborate with hardware partners (SoC vendors, ODMs) and internal engineering teams to address complex, cross-disciplinary system challenges.

About Waymo Waymo develops autonomous driving technology with a focus on safety and reliability. Since its start as the Google Self-Driving Car Project in 2009, the company has built the Waymo Driver, which has completed over ten million rider-only trips and driven more than 100 million miles on public roads. Waymo’s technology is tested and deployed across more than 15 U.S. states, aiming to improve mobility and reduce traffic fatalities. Role Overview The Senior Backend Engineer - Security will join the Waymo Commercialization team in Mountain View or San Francisco, CA. This role centers on designing and building backend systems that support fleet management for autonomous vehicles. The position focuses on secure, scalable infrastructure that underpins Waymo’s driverless services. What You Will Do Design and implement backend systems that support secure, reliable fleet operations for autonomous vehicles. Collaborate closely with teams across security, cloud backends, and the Waymo Driver platform. Work with stakeholders in operations, product management, legal, partnerships, policy, and privacy to deliver and maintain critical infrastructure. Tackle complex technical challenges that impact the safety and efficiency of Waymo’s commercial services. Location This position is based in Mountain View, CA or San Francisco, CA, USA.

Role overview Coupang seeks a Senior Staff Backend Engineer based in Mountain View or Seattle. This position leads the design and implementation of scalable backend systems that power Coupang’s ecommerce platform. Key responsibilities Shape architecture decisions for backend services supporting millions of customers Collaborate with engineers to develop and maintain reliable, high-performance systems Use modern technologies to improve service quality and customer experience Team environment Work alongside an experienced engineering team dedicated to building and enhancing the core services that drive Coupang’s global ecommerce operations.

Waymo is looking for a Senior Software Engineer to join the DevAI team in Mountain View, CA. This group works on artificial intelligence technologies that support the company’s autonomous vehicle systems. Role overview This position focuses on designing, building, and refining software that improves the intelligence and performance of Waymo’s self-driving vehicles. The work involves collaborating closely with other engineers to deliver reliable and effective AI solutions. What you will do Develop and optimize software for autonomous vehicle platforms Work with team members to design and implement new AI-driven features Contribute to enhancing the capabilities and safety of Waymo’s transportation technology Team and impact The DevAI team brings together engineers focused on advancing the core intelligence of Waymo’s vehicles. This role has a direct impact on the future of transportation technology by helping shape how autonomous vehicles perceive and interact with the world.

Waymo is hiring a Senior Staff Engineer for the DevAI team in Mountain View, CA. This role centers on leading projects that apply advanced artificial intelligence to improve autonomous vehicle systems. What you will do Guide the design, development, and deployment of scalable AI solutions for autonomous vehicles Work closely with teams across disciplines to deliver impactful projects Mentor junior engineers and help build a strong, collaborative team culture What you bring Deep experience in machine learning, software engineering, and system architecture Ability to lead complex technical initiatives from concept through deployment Strong communication and collaboration skills This position offers the chance to shape the future of transportation by advancing AI-driven solutions within Waymo's autonomous vehicle platform.

At Reliable Robotics, we are pioneering innovative technologies designed to enhance safety in aviation, ultimately saving lives. Our automated aviation systems are set to revolutionize air transportation, making it safer and more efficient for the movement of goods and, eventually, people around the globe. Our team comprises dedicated engineers with diverse expertise in aerospace, robotics, and autonomous vehicles, all committed to transforming this vision into reality.As a Senior Electrical Systems Engineer, you will join our Vehicle Design and Integration team, where your expertise will be crucial in merging mechanical, electrical, guidance, navigation, and control (GNC), as well as safety requirements to develop intricate components necessary for the automation of aviation. You will work collaboratively across teams to design a cohesive system architecture and ensure requirements are integrated throughout both hardware and software components.

Join Our Team!Otter.ai is on the lookout for a seasoned Security Engineer to enhance the security of our cloud infrastructure and the systems that power our AI-driven meeting solutions. In this critical role, you will design and deploy robust security controls, enhance our detection and response capabilities, automate processes to mitigate cloud risks, and collaborate closely with our DevOps and Engineering teams to ensure secure cloud deployments. If you thrive in dynamic environments, excel at balancing risk management with rapid deployment, and enjoy building scalable security solutions, we want to hear from you!Your ImpactDesign and implement secure cloud architectures and guardrails across our environments (network segmentation, encryption, key management, secure service patterns).Own IAM security: access controls, least-privilege policies, privileged access workflows, and recurring access reviews.Build and scale cloud security infrastructure (logging, monitoring, alerting, vulnerability management, and DLP controls where appropriate).Harden CI/CD and infrastructure-as-code with security automation (secrets detection, dependency scanning, IaC scanning, policy-as-code).Monitor cloud security signals and investigate security alerts; continuously improve detection quality and reduce noise.Lead incident response for cloud security events and help mature playbooks, forensics readiness, and response processes.Conduct cloud security assessments and threat modeling for new architectures and high-impact changes; partner with Engineering to drive remediation.

Reliable Robotics develops automated aviation systems aimed at making air transportation safer and more efficient. The team combines experience in aerospace, robotics, and autonomous vehicles to advance how people and goods travel. Role overview The Senior Production Systems Engineer joins the Production team in Mountain View, CA. This group delivers high-quality products and services, supporting the company’s mission to move automated aviation systems from concept to production. The position provides technical leadership and shapes strategy for production capabilities, business systems, and factory infrastructure. What you will do Design and manage production systems that support manufacturing processes, quality standards, and regulatory compliance. Plan, develop, and lead the rollout of new features and modules in partnership with SaaS vendors and internal teams. Conduct trade studies to inform decisions about business systems and infrastructure. Set up, automate, and monitor key performance indicators (KPIs) to drive improvements in design, product, and process. Key focus areas Oversee integration and performance of Manufacturing Execution Systems (MES), Enterprise Resource Planning (ERP), and Material Requirements Planning (MRP) tools. Lead enhancements using AI, develop and refine production processes, and install factory infrastructure such as printers and inspection equipment. Create real-time analytics tools to support operations in a safety-critical environment.

The Enterprise Applications team at Databricks is embarking on an exciting journey to redefine our business operations. Our objective is to develop robust, in-house platforms and AI-driven capabilities that deliver a significant competitive edge, propelling us towards doubling our size and revenue.As a Senior Staff Software Engineer within the Enterprise Applications team, you will be pivotal in designing and implementing end-to-end applications that enhance our business functionalities and equip our employees with truly assistive technologies. Your responsibilities will include defining the technical roadmap, designing essential software systems, elevating engineering standards, mentoring junior engineers, and addressing the most complex technical challenges the team faces. You will serve as the technical leader for a team of talented software engineers.

Job Title: Senior Staff Software Engineer - Enzyme Location: Mountain View, California At Databricks, we are driven by a passion for empowering data teams to tackle some of the world’s most intricate challenges—from revolutionizing transportation to accelerating medical advancements. We achieve this by developing and managing the leading data and AI infrastructure platform, enabling our customers to harness deep data insights to elevate their businesses. The Lakeflow Engineering team at Databricks oversees our comprehensive ETL product line, including innovative solutions like Materialized Views, Structured Streaming, and Delta Live Tables. We operate one of the largest data engineering platforms globally, processing exabytes of data daily for our extensive client base. We are in search of a committed technical leader to guide the Materialized Views engineering team. This team is tasked with creating next-generation Materialized View features that enhance both ETL workloads and query acceleration. In this role, you will engage in various areas to design and implement advanced systems that surpass current state-of-the-art: Incrementally maintaining materialized views Optimizing query performance Managing resources efficiently Developing effective storage structures Automating physical data optimization Your Impact: Address significant business needs at a large scale through your software engineering expertise. Deliver a robust, scalable, and fault-tolerant architecture for Materialized Views. Conduct low-level systems debugging, performance measurement, and optimization on large production clusters. Shape architecture design, influence product roadmaps, and assume ownership of new projects. Introduce tools that enhance automation and operational efficiency of services. Utilize your extensive experience to help preempt and resolve production issues. Plan and lead complex technical projects collaborating with multiple teams across the organization.

At Databricks, we are dedicated to empowering data teams to tackle some of the most challenging issues in the world—whether it's realizing the next breakthrough in transportation or accelerating medical innovations. Our mission is to build and operate the leading data and AI infrastructure platform, allowing our clients to harness deep data insights for business enhancement.Our engineering teams create impactful technical products that address significant global needs. We consistently push the limits of data and AI technology while ensuring the security and scalability crucial for our customers' success on our platform.We manage one of the largest software platforms globally, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we monitor cloud hardware, network, and operating system faults, ensuring our software effectively shields our customers from these challenges.As a member of the Observability team, you will be at the forefront of developing solutions that deliver critical insights into the health and performance of our products and infrastructure.

Waymo, an innovative leader in autonomous driving technology, aims to become the world's most trusted driver. Established in 2009 from the Google Self-Driving Car Project, Waymo focuses on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent traffic-related fatalities. The Waymo Driver facilitates our fully autonomous ride-hail service and is adaptable to a variety of vehicle platforms and use cases. With over ten million rider-only trips completed and more than 100 million miles driven autonomously on public roads, along with extensive simulation across 15+ U.S. states, Waymo is redefining transportation.The Planner Evaluation team is at the forefront of addressing one of the critical challenges in autonomous driving: assessing and enhancing the quality of the software that operates the vehicles. We are in search of skilled data-centric software engineers and data scientists who are eager to improve our methodologies for characterizing and evaluating modifications to the onboard software stack. If you're enthusiastic about autonomous vehicles and utilizing complex data to inform decision-making, this is the ideal opportunity for you!This hybrid role will report to an Engineering Manager.Your responsibilities will include:Developing metrics to evaluate the performance and driving characteristics of the Waymo Driver using various techniques such as statistics, mathematics, physics, algorithms, and machine learning.Utilizing simulations creatively while analyzing real-world driving logs to assess driving performance.Designing and implementing methods to establish a robust connection between onboard software modifications and simulated results.Promoting code health and adherence to best practices within a large and intricate codebase.Analyzing data to provide actionable insights on enhancing metric quality and interpretability.Collaborating with fellow engineers, data scientists, statisticians, and leadership to produce evaluation tools and support data-driven decisions.

Waymo is at the forefront of autonomous driving technology, striving to be the most trusted driver in the world. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—which enhances mobility access and aims to save countless lives lost in traffic accidents. The Waymo Driver operates our fully autonomous ride-hail service and can be integrated into various vehicle platforms and applications. With over ten million rider-only trips and more than 100 million miles driven autonomously on public roads, Waymo is making strides in safety and efficiency across 15+ U.S. states.Our Systems Engineering team collaborates to innovate software and hardware systems in unprecedented ways. We set rigorous performance standards to ensure our vehicles operate seamlessly and prioritize passenger safety. We are seeking passionate and skilled individuals who thrive in teamwork and are committed to achieving results.This role follows a hybrid work schedule and reports to a Systems Engineer Lead.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has tirelessly worked to develop the Waymo Driver—The World’s Most Experienced Driver™—with a goal to enhance mobility access while preventing countless traffic-related fatalities. The Waymo Driver facilitates our fully autonomous ride-hail service and can be adapted for various vehicle platforms and applications. With over ten million rider-only trips accomplished, our technology has autonomously navigated more than 100 million miles on public roads and an impressive amount in simulation across 15+ U.S. states.Our Systems Engineering team is dedicated to innovatively integrating software and hardware systems. We establish rigorous performance standards that guarantee the seamless operation of our vehicles and ensure passenger safety. We are seeking passionate individuals who thrive in a collaborative environment and are committed to delivering impactful results.This role follows a hybrid work schedule and reports to a Systems Engineer Lead.

Join Waymo as a Senior Back-End Software Engineer in our Simulation team, where you will play a vital role in building and enhancing our cutting-edge autonomous driving technologies. You will be responsible for designing and implementing robust back-end systems that support our simulation environments, helping to ensure the safety and efficiency of our self-driving vehicles.Your contributions will directly impact the future of transportation and make a difference in how people move through the world.

Senior Fullstack Software Engineer IIJoin our dynamic web team as a Senior Fullstack Engineer, where you will lead the charge in developing the next evolution of the Moveworks Agentic Assistant ecosystem. This role offers a unique opportunity to harness the power of machine learning and generative AI, creating innovative and engaging web applications that directly enhance the experiences of our customers. Your expertise is needed now!We are building an enterprise-centric generative AI ecosystem, and your contributions will shape various functionalities, catering to diverse user personas. You will design AI-powered agent builder experiences and develop robust UI frameworks that serve as scalable, reliable building blocks for our applications.Responsibilities:Design and implement innovative AI-powered features for our agent builder product, utilizing the latest technologies to maximize business value.Expand our product's footprint across diverse customer bases, sectors, and global markets while ensuring high-quality engineering practices.Architect and enhance Moveworks' web technology stacks, including authentication, event tracking, application platforms, and design systems.Encourage best practices and standards for building modular, scalable web applications and APIs in conjunction with backend services.Collaborate closely with product, machine learning, and engineering teams to enhance user experiences, address technology gaps, and boost customer engagement.Thrive in a fast-paced startup environment where you will enjoy a high level of ownership.

Join Nuro as a Senior Software Engineer, where you will play a pivotal role in enhancing our performance tooling and infrastructure. You will work on cutting-edge technologies to optimize our systems for efficiency, scalability, and performance. If you are passionate about building robust software solutions and driving innovation, we want to hear from you.