Systems Software Engineer at Sunday | Mountain View

Be a Part of the Next Generation of Home RoboticsAt Sunday Robotics, we are at the forefront of developing innovative personal robots designed to liberate individuals from mundane tasks. Our mission is to create widely accessible, generalized robots that help families reclaim valuable time together.After 18 months of dedicated effort in building an exception…

About Us Nuro is at the forefront of self-driving technology, striving to make autonomous driving accessible to everyone. Established in 2016, we are dedicated to developing the world’s most scalable driver by merging advanced artificial intelligence with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed across various applications, including robotaxis, commercial fleets, and personal vehicles. With proven technology from years of successful self-driving deployments, we provide automakers and mobility platforms with a clear pathway to commercial-scale autonomous vehicles, paving the way for a safer, more connected future. Role Overview At Nuro, we prioritize a machine-learning-centric approach to autonomous driving. The performance of our systems relies significantly on the volume and diversity of training and evaluation data. Our team is vital in enhancing autonomous driving systems by ensuring high-quality labeled data accessibility. This is achieved through a sophisticated labeling stack that includes a workflow execution framework, supporting infrastructure, and an array of data annotation tools. Our autonomy stack is powered by an industry-leading sensor suite, capable of efficiently processing and annotating millions of sensor data points weekly. The platform team's mission is to ensure that labeled data is readily available for all users. Our systems must be dependable and scalable, encompassing everything from request submissions to progress tracking, data dumping, and model development. We work closely with autonomy engineers to guarantee the labeled data's quality and comprehensiveness. As Nuro expands its services, it becomes increasingly critical to capture and promptly triage all issues. Key Responsibilities Develop and maintain highly available and fault-tolerant systems for data annotation. Productionize core infrastructure for our cutting-edge autonomy system. Enhance label quality through data-driven metrics and monitoring. Leverage state-of-the-art ML research to automate and optimize the data labeling lifecycle. Qualifications Bachelor's or Master's degree in a relevant field with 5+ years of industry experience. Proven experience in designing, building, and operating highly scalable and reliable distributed data systems. Demonstrated ability to lead cross-functional projects with strong communication skills. Expertise in data processing and machine learning techniques.

Who We AreAt Ema, we are pioneering cutting-edge AI technologies designed to enhance the creativity and productivity of employees across enterprises. Our unique technology enables organizations to entrust Ema, the AI employee, with repetitive tasks, freeing up human talent for more strategic initiatives. Founded by a team of former executives from tech giants such as Google, Coinbase, and Okta, and backed by prestigious investors including Accel Partners and Naspers, we are on the forefront of the AI revolution.Our diverse team, composed of top engineers from leading tech firms like Microsoft Research and Facebook, brings a wealth of knowledge and experience, primarily from renowned institutions such as Stanford and MIT. Operating out of Silicon Valley and Bangalore, India, we embrace a hybrid work model, requiring employees to be in our Mountain View, CA office three days a week.Who You AreWe seek passionate and innovative Machine Learning Engineers who thrive on tackling complex challenges and enjoy working with vast datasets. You have a talent for translating theoretical concepts into practical, scalable solutions, and you are a collaborative team player who excels in autonomous settings. Your enthusiasm for employing machine learning techniques, particularly in Natural Language Processing and Information Retrieval, is matched only by your desire to contribute to a mission-driven, high-growth startup making a significant impact.Your ResponsibilitiesDesign, develop, and deploy machine learning models that drive our NLP, retrieval, ranking, reasoning, dialog, and code-generation systems.Implement state-of-the-art machine learning algorithms, including Transformer-based models and reinforcement learning, to enhance AI system performance.Analyze and process large, complex datasets (structured, semi-structured, and unstructured) to inform model development.Engage throughout the entire machine learning model lifecycle, from problem identification and data exploration to feature engineering and model evaluation.

About UsAurora Innovation is dedicated to advancing self-driving technology, ensuring its safe, rapid, and widespread adoption.The Aurora Driver is set to revolutionize mobility and logistics, paving the way for a safer, more efficient, and accessible future.At Aurora, you will engage with complex challenges alongside passionate and skilled professionals, enhancing your expertise and expanding your understanding. Stay updated with our latest news at aurora.tech or connect with us on LinkedIn.Aurora is on the lookout for talented individuals from diverse backgrounds eager to contribute to a transformative transportation ecosystem that enhances road safety, ensures timely delivery of essential goods, and improves mobility accessibility for everyone.We are currently seeking a Software Engineer to join our Vehicle Platforms team. This is an exceptional opportunity for a systems-oriented coder to work at the foundational layer of our autonomous trucks, connecting high-level autonomy software with physical vehicle hardware. You will play a crucial role in ensuring that our sensors, compute units, and embedded devices work seamlessly as a high-performance unit, making this one of the most hands-on software roles at Aurora.

Join Nuro as a Senior Software Engineer focused on GenAI Infrastructure and Agent Systems. In this pivotal role, you will leverage cutting-edge artificial intelligence technologies to enhance engineering efficiency across our platforms. You will be responsible for designing and implementing scalable systems that drive automation and optimization in our engineering processes.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the most reliable driver in the world. Originating from the Google Self-Driving Car Project in 2009, we are committed to enhancing mobility access and preventing traffic-related fatalities. Our innovative Waymo Driver has successfully completed over ten million rider-only trips, leveraging extensive real-world experience with over 100 million miles driven autonomously and billions of miles simulated across more than 15 states.The Simulator Team at Waymo specializes in crafting advanced simulations that replicate realistic environments for the testing and training of the Waymo Driver. Comprising a diverse group of software engineers, machine learning experts, and data scientists, our team is focused on developing leading-edge simulation technologies powered by sophisticated ML algorithms to optimize the performance of the Waymo Driver. Our efforts include modeling real-world scenarios with realistic entities such as vehicles, pedestrians, cyclists, traffic systems, and various weather conditions.To enhance the realism and control of our simulations, we utilize state-of-the-art ML technologies, including large foundational World Models trained on our proprietary datasets and reinforcement learning techniques for long-term decision-making. We also invest in robust infrastructure that enables rapid setup and execution of multiple counterfactual scenarios for thorough testing of our autonomous driving systems.In this hybrid role, you will report to a Senior Staff Tech Lead Manager.

Waymo is at the forefront of autonomous driving technology, driven by a mission to become the world's most reliable driver. Since its inception as 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 access and significantly reduce traffic-related fatalities. Our innovative Waymo Driver powers our fully autonomous ride-hail service, with applications across various vehicle platforms and use cases. Having completed over ten million rider-only trips, our technology is backed by more than 100 million miles driven autonomously on public roads and tens of billions simulated across more than 15 U.S. states.The Reasoning Foundations Team is pivotal in crafting horizontal technologies that impact the entire Waymo organization. Within this team, the Driving Logic Capabilities unit focuses on building and maintaining the essential interfaces, infrastructure, and shared technologies utilized by Planner Reasoning to address onboard behavioral challenges. In this impactful role, you’ll play a crucial part in enhancing the Waymo Driver's performance as we expand into new cities, empowering over 100 engineers to develop onboard software and advance Waymo’s architectural frameworks. Additionally, you will have the chance to influence development workflows organization-wide by establishing clear interfaces and processes for developing and debugging the Waymo driver.In this hybrid role, you will report directly to a Lead Software Engineer.

Join LinkedIn as a Senior Staff Software Engineer specializing in High-Performance Computing (HPC) Network Engineering. In this pivotal role, you'll design and implement cutting-edge network solutions that enhance our HPC capabilities and drive innovation across our products. Collaborate with a dynamic team of engineers and contribute to the optimization of our network infrastructure to ensure exceptional performance and reliability.

Join LinkedIn as a Distinguished Software Engineer specializing in Data Infrastructure, where you will lead innovative projects that enhance our data capabilities and support millions of users worldwide. This role requires a deep understanding of data architecture and an ability to design scalable solutions.

Join our dynamic team at LinkedIn as a Distinguished Software Engineer in Machine Learning. In this pivotal role, you will lead innovative projects that enhance our growth strategies through cutting-edge machine learning techniques. You will collaborate with cross-functional teams to implement advanced algorithms that drive our product offerings and influence key decisions.

Join the cutting-edge team at LinkedIn as a Distinguished Software Engineer specializing in Systems Infrastructure. In this pivotal role, you will spearhead innovative projects, drive engineering excellence, and contribute to the development of robust infrastructure solutions that empower millions of users worldwide.

ECL is leading a technological revolution with the launch of the world’s first hydrogen-powered, off-grid green data center, achieving an impressive uptime of 99.999%. As the demand for high-performance data centers grows to support AI and machine learning, ECL is at the forefront of delivering innovative solutions. Our cutting-edge modular architecture allows for scalable construction projects ranging from 1-2MW, designed to cater to the needs of larger data center installations. Join us and contribute to a completely green power generation system amidst the rapid advancements in artificial intelligence and machine learning.This is a unique opportunity to be part of a groundbreaking team poised for significant growth. ECL was founded by industry veterans from renowned companies such as Facebook, Microsoft, LinkedIn, Cisco, HPE, and Bloom Energy.

Join Waymo as a Senior Software Engineer specializing in the Linux Kernel, where you will play a crucial role in developing and optimizing cutting-edge software solutions. As part of our dynamic team, you will engage in high-impact projects that directly contribute to the future of autonomous driving technology.

Join Unity Technologies as a Staff Software Engineer specializing in AI Authoring. In this pivotal role, you will be at the forefront of developing innovative AI-driven solutions that enhance our platform's capabilities. Collaborate with cross-functional teams to design, implement, and optimize AI authoring tools that empower creators worldwide.

Waymo is at the forefront of autonomous driving technology, committed to becoming 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™—aiming to enhance mobility access and prevent the thousands of lives lost to traffic accidents. The Waymo Driver is the backbone of our fully autonomous ride-hail service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips and extensive experience driving more than 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states, we are revolutionizing transportation.The Labeling Platform Team is pivotal in creating data solutions that fuel innovative research and development throughout all phases of the ML Lifecycle: pretraining, supervised fine-tuning, and reinforcement learning. The high-quality labeled data produced by our team is essential for enhancing the Waymo Driver and various models that support broader business initiatives.

Waymo is leading the way in autonomous driving technology with a mission to be the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo is dedicated to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance accessibility to transportation while preventing countless lives lost in traffic accidents. Our innovative Waymo Driver underpins our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips facilitated by our technology, we have driven more than 100 million miles on public roads and logged tens of billions of miles in simulation across more than 15 U.S. states.The Perception Evaluation team at Waymo is pioneering advancements in autonomous driving, prioritizing the safety and reliability of our self-driving systems. Our team leverages state-of-the-art tools and methodologies to rigorously evaluate the performance of our perception systems, which are essential for the safe and effective operation of autonomous vehicles. We are currently seeking a Software Engineer to be instrumental in shaping the future of transportation and enhancing the quality and reliability of Waymo's autonomous vehicles.In this hybrid role, you will report directly to an Engineering Manager.

Waymo is at the forefront of autonomous driving technology, with a vision 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™. This innovation aims to enhance mobility access and significantly reduce traffic-related fatalities. The Waymo Driver powers a fully autonomous ride-hailing service and is adaptable to various vehicle platforms and applications. With over ten million trips undertaken and more than 100 million miles driven autonomously on public roads, Waymo stands as a leader in safety and innovation across 15+ U.S. states.The Planner Reasoning Team is pivotal within Waymo, responsible for creating technology that directly influences the Waymo Driver's behavior. This team plays a crucial role in both onboard and off-board system architecture, leading the charge in pioneering deep-learning initiatives. Join us to enhance our Waymo Driver's performance and uphold our stellar safety record as we expand into new cities.In this hybrid role, you will report to an Engineering Manager.

What MatX Is Building At MatX, we are committed to creating the compute platform for Artificial General Intelligence (AGI). Our team is developing comprehensive full-stack solutions that encompass both hardware and software, designed to efficiently train and execute the largest machine learning workloads for AGI. Our primary programming language is Rust. What You'll Do Here Design and optimize kernels that interact directly with our hardware architecture. Collaborate closely with our Machine Learning Research and Hardware Engineering teams. Provide programming insights and guidance on hardware architecture to ensure seamless software integration. Who You Are Bachelor's degree in Computer Science or a related field. Experience in optimizing software for specialized hardware using techniques like parallelism, SIMD programming, C, assembly optimization, or GPU/CUDA programming. Proficient in at least one of the following languages: assembly, C++, C, Zig, or Rust. This is a hybrid position requiring you to work in our Mountain View, CA office 3 days a week (Tuesday through Thursday). Bonus Points If You Have Experience with kernel implementations for machine learning models, including Transformers. Familiarity with distributed parallelism techniques like AllReduce, AllToAll, data parallelism, and tensor parallelism. Understanding of compiler operations. Compensation Compensation for this full-time role is based on several factors including experience, skills, and location. Career length is considered as a guideline for salary. 0-5 years of experience - $120,000 - $200,000 + equity 5-10 years of experience - $120,000 - $300,000 + equity 10+ years of experience - $120,000 - $400,000 + equity What We Offer A Stake in Our Success: A competitive cash/equity mix tailored to your needs, with the option for early exercise. Health & Wellness: Comprehensive health, dental, vision, and life insurance, along with pre-tax Health Savings Accounts featuring generous contributions. Time To Recharge: 4 weeks of paid time off (accrued), 12 company holidays, and additional time off for personal needs.

About Matic RoboticsAt Matic Robotics, we are dedicated to transforming home life by introducing cutting-edge robotics technology. Each year, billions of hours are squandered on mundane household chores. Our mission is to reclaim that time, making home management effortless and efficient.Our flagship product, Matic, is an innovative floor-cleaning robot that combines advanced features akin to 'full self-driving' technology for homes. With real-time 3D mapping, adaptive path tracking, and an intelligent understanding of its environment, Matic operates seamlessly using only RGB cameras and on-device neural networks.We prioritize privacy; all data processing is conducted on the robot, ensuring that what happens in your home stays in your home.Our approach to home robotics mirrors the evolution of consumer electronics: starting with specialized devices and gradually evolving into more sophisticated solutions.At Matic, we foster a collaborative and hardworking culture focused on creating products that our customers truly value.Role OverviewBackend Software EngineerJoin our dynamic team as a Backend Software Engineer, where your contributions will have a significant and immediate impact. You will collaborate with cross-functional teams including software, mechanical, and electrical engineers to develop internal tools.Key ResponsibilitiesDesign and enhance internal tools that facilitate and optimize our production processes.Create robust systems in Rust to elevate manufacturing efficiency and reliability.Work collaboratively with Mechanical and Electrical Engineering teams to translate tooling requirements into functional solutions.Identify opportunities for tool creation and infrastructure improvements to enhance cross-team operations.Become a vital member of our compact software team.Qualifications2-5 years of experience in backend software development.Proficiency in Rust programming language.Strong problem-solving skills and attention to detail.A collaborative spirit and a passion for building innovative solutions.

About CyngnLocated in the heart of Mountain View, CA, Cyngn Inc. is a publicly-traded leader in autonomous technology. We specialize in deploying self-driving industrial vehicles such as forklifts and tuggers across factories, warehouses, and various facilities throughout North America. We are seeking innovative, driven, and experienced leaders to join our team and spearhead advancements in this transformative field. If you're passionate about building, tinkering, and collaborating with a team of dedicated colleagues, Cyngn is your ideal workplace.Dynamic Work Environment.With a tight-knit team of under 100 employees, Cyngn operates with the agility of a startup while being backed by the stability of a publicly-traded company. This unique combination allows our employees to work closely with mentors and gain access to the liquidity of our stock, fostering both professional and financial growth.Real Impact, Real Solutions.At Cyngn, our autonomous vehicles are not merely concepts—they are actively deployed with real clients. Your contributions will create a direct and visible impact on our clients' operations.A Culture of Collaboration.We pride ourselves on being a diverse and welcoming team of sharp thinkers and kind individuals. Collaboration and trust are the cornerstones of our creative environment, where every perspective is valued and drives our innovative solutions.Role Overview:As the Senior Backend Software Engineer for our Software as a Service (SaaS) platform team, you will play a pivotal role in developing Cyngn's state-of-the-art fleet management system for autonomous industrial vehicles. You will collaborate closely with product and engineering teams to design, implement, deploy, and maintain a scalable, high-performance cloud-based solution that enables real-time control and monitoring of autonomous vehicles in operational settings. Your expertise will be vital in helping our customers enhance their automated workflows and maximize operational efficiency.