Onboard Software Performance TLM / Staff Software Engineer

Applied Intuition, Inc. creates digital infrastructure and tools that support physical AI across industries such as automotive, defense, trucking, construction, mining, and agriculture. The company is headquartered in Sunnyvale, California, and operates offices in cities including Washington, D.C., San Diego, Ft. Walton Beach, Ann Arbor, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Eighteen of the world’s top twenty automakers, as well as the U.S. military and allied forces, rely on Applied Intuition’s technology. For more details, visit applied.co. The team values an in-office culture, with most employees onsite five days a week. There is flexibility for occasional remote work, starting the day from home, or adjusting hours for family commitments. Role overview This Software Engineer - Performance Optimization role is based in Mountain View, California. The focus is on optimizing application-layer software for embedded systems used in autonomous driving technology. What you will do Work across several components of the autonomous driving software stack Develop new features and drive performance improvements for embedded systems Requirements Experience optimizing application-layer software for embedded systems

Join Waymo as a Staff Software Engineer specializing in Simulation Capacity Optimization. In this pivotal role, you will leverage your expertise in software engineering and simulation technology to enhance our autonomous vehicle systems. Your contributions will be vital in optimizing the performance and efficiency of our simulations, ensuring that our vehicles are equipped to navigate the complexities of real-world environments.

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.

Join Nuro as a Software Engineer specializing in Performance Tooling and Infrastructure, where you will play a pivotal role in enhancing the efficiency and scalability of our systems. You will collaborate with cross-functional teams to develop and optimize performance tools that drive the success of our autonomous delivery services.

Nuro builds self-driving technology, aiming to make autonomy widely available. Since 2016, the company has combined advanced AI with automotive-grade hardware to create the Nuro Driver™, a scalable autonomous system. Nuro’s technology supports robotaxis, commercial fleets, and personal vehicles, and is licensed to automakers and mobility platforms for commercial-scale adoption. The Senior Software Engineer - Cloud Efficiency & Cost Optimization position is part of the Core Infrastructure group in Mountain View, California. This team works closely with engineering partners across Autonomy, ML Platform, Simulation, Perception, Behavior, Mapping, BATES, and Release Engineering. Nuro’s cloud infrastructure supports daily operations, and its efficiency directly affects how many miles are driven, models are trained, and scenarios are validated for each dollar spent. The systems built in this role impact thousands of jobs, pipelines, and services throughout the company. What you will do Lead cloud efficiency projects from start to finish, identifying high-impact opportunities across storage, compute, data, and ML infrastructure. Design systems that build sustainable efficiency into the platform. Promote cost-aware system design by working with teams during architecture and design reviews. Ensure new systems prioritize efficiency in storage, retention, data layout, query patterns, compute sizing, and reservation strategies. Optimize large-scale workloads by profiling and tuning tasks such as BigQuery analytics, data pipelines, simulation storage, ML training, and GKE services to improve throughput and reduce costs. Build cost observability and attribution tools, including real-time visibility, anomaly detection, and granular attribution by SKU, bucket, workload, and team, to quickly catch and address issues. Remove systemic waste by automating lifecycle management and tiering, optimizing compute sizing, and cleaning up underutilized or orphaned resources across the infrastructure. Drive cross-team optimization by collaborating with engineering groups to implement and maintain cost and efficiency improvements across Nuro.

At Waymo, we are pioneering the future of autonomous driving technology with an unwavering commitment to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our focus has always been on engineering the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and drastically reduce traffic-related fatalities. The Waymo Driver currently powers our fully autonomous ride-hail service, having completed over ten million rider-only trips and covering more than 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.This role in Software Engineering is crucial as we develop the intelligent systems that allow the Waymo Driver to navigate complex environments, make sound decisions, and ensure safe transportation for our users. We tackle intricate technical challenges in robotics, perception, decision-making, and deep learning, collaborating closely with hardware and systems engineers. If you are a dedicated software engineer or researcher with a passion for Level 4 autonomous driving, we are eager to meet you.In this hybrid role, you will report directly to a Technical Lead Manager.

P-97 At Databricks, we are dedicated to empowering data teams to tackle the most significant challenges facing the world today. We achieve this by creating and managing the premier data and AI infrastructure platform, enabling our clients to harness profound data insights to enhance their operations. Our commitment to innovation drives us to constantly explore the edges of data and AI technology while maintaining the resilience, security, and scalability essential for our customers to thrive on our platform. With one of the largest software platforms globally, our infrastructure comprises millions of virtual machines, producing terabytes of logs and processing exabytes of data daily. Given our scale, we routinely encounter faults in cloud hardware, networks, and operating systems, and our software must adeptly shield our clients from these issues. In the role of Performance Engineer, you will collaborate extensively with various teams across the organization to assess the performance of products and features. You will identify performance bottlenecks and partner with engineers to address performance and scalability challenges. This includes establishing performance targets for different software releases, guiding teams in developing performance benchmarks, conducting competitive benchmark analyses for various Databricks products, and performing in-depth analyses to diagnose and rectify performance issues.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Established in 2009 as the Google Self-Driving Car Project, Waymo has developed the Waymo Driver—The World’s Most Experienced Driver™—aimed at enhancing mobility access and saving countless lives from traffic-related accidents. Our technology empowers a fully autonomous ride-hail service and is adaptable across various vehicle platforms and product applications. With over ten million rider-only trips facilitated by the Waymo Driver and more than 100 million miles driven autonomously on public roads, we are paving the way for safer transportation.The Perception team is responsible for developing systems that interpret the spatial-temporal representations and semantic meanings of the environment surrounding our autonomous vehicles. Our collaborative efforts with downstream teams focus on optimizing and integrating these systems within the Waymo Driver. We engage in innovative research to tackle real-world challenges and work closely with research teams at Alphabet. Our engineers have access to extensive driving data from diverse sensors, allowing us to (1) create efficient learning methods from vast real-world datasets, (2) build and train models at scale, (3) analyze real-world behaviors, and (4) optimize models for both onboard and offboard hardware.In this hybrid role, you will report to a Technical Lead Manager.

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 been relentlessly focused on creating the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent traffic-related fatalities. The Waymo Driver is the driving force behind our fully autonomous ride-hail service, optimized for various vehicle platforms and applications. With over ten million rider-only trips and more than 100 million miles driven autonomously on public roads, alongside tens of billions of simulated miles across 15+ U.S. states, Waymo is redefining transportation.The ML Platform team at Waymo plays a critical role by offering a suite of tools that facilitate and automate the entire machine learning workflow lifecycle, including feature and experiment management, model development, optimization, and monitoring. Our initiatives have made machine learning more accessible across diverse teams at Waymo, including Perception, Planner, Research, and Simulation.We are seeking talented engineers with expertise in machine learning software or systems to enhance compute performance both in the cloud and on vehicles. You'll engage with the entire ML stack from a systems perspective, tackling challenges such as efficient deep learning models, model compression, and improving ML software (e.g., JAX, XLA, Triton, and CUDA). This hybrid position reports directly to the Senior Manager of Runtime and Optimization.

Logos Space is at the forefront of revolutionizing satellite communications with our Low Earth Orbit (LEO) satellite system, designed to meet the connectivity demands of commercial enterprises and government entities. We aim to bridge a crucial gap in the market by delivering robust, high-performance satellite-based connectivity solutions for our clientele around the globe. Our business customers will benefit from contracts that specify performance standards for broadband, which we will integrate into our system from the outset. Speed and reliability are the cornerstones of our infrastructure, ensuring seamless cloud and data center connectivity to fixed, maritime, and aerial terminals worldwide.Led by a team of seasoned engineers with extensive experience in networking and satellite technology, Logos Space is committed to innovation and excellence.Position Overview & ResponsibilitiesAs a member of the Networking team at Logos Space, you will play a pivotal role in ensuring the success of our network through the development of software-defined networking, performance monitoring, and other vital components of the ground segment. Your collaboration with other spacecraft design aspects—such as RF, power management, and more—will be essential. This network will uniquely provide services at Layer 2, 2.5, and 3, necessitating the development of methodologies to manage flows with enterprise-level assurance. Your work will evolve from conceptual frameworks to discrete event simulations at the message level, ultimately culminating in a digital twin of the deployed system.As an Algorithm and Network Simulation Engineer, you will be instrumental in designing, optimizing, and validating our pioneering hybrid space and terrestrial network. Your responsibilities will include creating intricate simulation models and algorithms to analyze performance metrics, assess emerging technologies, and enhance network behaviors within this complex ecosystem. This is a remarkable opportunity to spearhead core innovations within our network architecture.We're seeking engineers who thrive in dynamic environments and relish the challenge of transforming abstract design concepts into tangible hardware ready for testing and deployment. If you have a passion for solving complex problems, we want to hear from you!

Waymo LLC develops autonomous driving technology, building on its origins as the Google Self-Driving Car Project. The Waymo Driver, at the core of its ride-hailing service, has completed over ten million rides and driven more than 100 million miles on public roads, plus tens of billions of miles in simulation across 15+ U.S. states. The Hardware Engineering team brings together electrical, mechanical, reliability, software, and vehicle engineers. This group designs and integrates the sensors and systems that enable Waymo's autonomous vehicles. The team values curiosity, technical skill, and collaboration. This LiDAR Performance Validation Hardware Engineer role is based in Mountain View, CA, with a hybrid schedule (at least 3 days per week in office). The position reports to the LiDAR performance lead. What You'll Do Work with electrical, mechanical, manufacturing, and reliability engineers to develop and characterize high-performance LiDAR systems and electro-optical subsystems. Develop bench characterization methods and physics-based software models to confirm designs meet performance goals. Create and maintain validation plans that follow the design lifecycle from prototype to mass production. Define and support testing and calibration procedures to ensure LiDAR data quality at scale. Collaborate with design and test teams to set up testing methodologies and performance acceptance criteria. Design and carry out LiDAR field measurements and structured tests. Assess how environmental conditions impact LiDAR performance, and create strategies to detect and resolve quality issues using experimental design, data mining, and analysis. Work closely with LiDAR software, perception software, and systems engineers to resolve field data quality issues and help define requirements that ensure the LiDAR module meets system-level performance and safety standards. Move between physics modeling, simulation, large-scale data analysis, and hands-on prototyping as needed.

About UsAt MAI (pronounced “my”), we are dedicated to transforming the landscape of advanced advertising technology. Our vision is to make innovative marketing tools, previously reserved for large corporations with extensive budgets, available to all. Utilizing AI agents, our platform automates and optimizes performance marketing, enabling small and mid-sized businesses to effectively scale their advertising efforts without the need for costly agencies or excessive manual campaign management.Founded by industry experts from Google and Instacart, we are proud to have secured a $25 million Seed funding round led by Kleiner Perkins to propel our growth. This investment will allow us to enhance our product and engineering teams, bringing our vision of intelligent and autonomous marketing solutions to fruition. Our AI agents have already demonstrated their effectiveness, driving 40% more sales for clients and managing millions in monthly Google Ads expenditures. Our client waitlist is expanding rapidly.Why Join Us NowIn contrast to traditional software development, which follows established guidelines, we are pioneering the infrastructure for autonomous, intelligent agents—and we are charting the course ourselves.As a Software Engineer at MAI, you will not only write code; you will be instrumental in architecting the ecosystem where our AI agents learn and operate. Your contributions will have a significant impact across our entire technology stack, from the foundational data platforms that support our agents, to the core frameworks that empower their reasoning capabilities, all the way to the scalable systems that deliver their intelligence to our users. This is a unique opportunity to build a truly AI-native product from the ground up and tackle challenges at the cutting edge of the industry.You will be more than just a contributor on a large team; you will be a key player in a close-knit group of fewer than ten engineers, making a substantial impact and influencing the future trajectory of our company. We are in the formative stages of establishing three core teams:Product Engineering & InfrastructureAI Platform & FoundationAgent Application & QualityThis is a rare opportunity for personal and professional growth as these teams develop. We encourage you to utilize your expertise while exploring new projects outside your comfort zone, learning from colleagues and evolving into a more versatile 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.

Role Overview Unity Technologies is advancing mobile gaming with AI-driven features. The Principal Machine Learning Engineer will focus on deploying advanced AI models, such as transformers and diffusion networks, directly onto mobile devices. This position shapes how Unity brings state-of-the-art multi-modal models from research into real-world mobile applications. What You Will Do Technical Leadership: Set the vision for deploying multi-modal AI models on iOS and Android, drawing on deep experience with transformers, diffusion models, and generative architectures. Make key decisions on model optimization strategies, including compression, quantization, and knowledge distillation to address mobile device constraints. Assess and select inference runtimes (such as CoreML, ONNX Runtime Mobile, TFLite) to improve team capabilities and deployment outcomes. Oversee the entire optimization pipeline, from model export through hardware-specific kernel tuning across different processing units. Architecture & Research Translation: Work closely with research scientists to convert innovative model architectures into operational, mobile-optimized systems. Design scalable systems capable of processing varied inputs, images, text, metadata, while ensuring real-time output performance. Develop new approaches for dynamic resolution and token reduction tailored for mobile environments. Monitor and incorporate advancements in efficient AI technologies to keep Unity’s mobile AI stack current. Team Leadership & Mentorship: Guide and mentor machine learning engineers, establishing best practices for on-device performance evaluation. Collaborate with cross-functional teams to ensure AI capabilities align with product roadmaps and device requirements. Promote a culture centered on performance measurement, defining and tracking key metrics for efficiency and accuracy. Location Mountain View, CA, USA

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, Waymo has developed the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save thousands of lives currently lost to traffic accidents. The Waymo Driver operates Waymo’s fully autonomous ride-hail service and is adaptable to various vehicle platforms and use cases. With over ten million rider-only trips, our technology has autonomously driven more than 100 million miles on public roads and processed tens of billions of miles in simulation across more than 15 U.S. states.The Waymo ML Frameworks & Efficiency team collaborates closely with Research and Production teams to design and implement models in Perception and Planning, which are essential components of our autonomous driving software. We provide our partners with the most effective frameworks for the entire model development lifecycle and innovative efficiency solutions for model execution, tailored to the unique challenges of machine learning in autonomous driving.We are seeking talented engineers with expertise in ML frameworks or ML systems to enhance computational efficiency in both cloud environments and vehicle systems. You will engage with the entire ML stack, from deep learning model architectures to accelerator runtimes, working alongside ML modeling teams to drive large-scale efficient model training and inference.

At Intrinsic Robotics, a pioneering venture backed by Alphabet, we are on a mission to revolutionize industrial robotics. Our team is driven by the belief that breakthroughs in artificial intelligence, perception, and simulation will transform the landscape of industrial robotics, with software and data at the heart of this evolution. Our goal is to create intelligent, accessible, and user-friendly industrial robotics solutions for an expansive range of businesses, entrepreneurs, and developers. We pride ourselves on being a vibrant team of engineers, roboticists, designers, and technologists dedicated to unlocking the creative and economic potential of robotics.We invite you to apply if you're interested in software engineering positions but don't find a suitable match in our current listings. Our recruitment team will evaluate applications and connect with you if a relevant opportunity arises.Please note, if you apply to this posting, you may not receive a response.We particularly want to hear from you if:You believe in making robotics more accessible for the manufacturing sector.You are skilled in modern software development and have delivered a substantial volume of high-quality software.You thrive on tackling challenging problems in interactive full-stack software, AI, and robotics.You have experience (or a desire) in developing tools and user-friendly interfaces for robotic functionalities. Robot functionalities include, but are not limited to, APIs for creating, editing, and simulating robot workcells, scalable computing infrastructure for microservices, vision algorithms, multi-step task planning, motion and grasp planning, machine learning for complex tasks, and representations for Industry 4.0.

Nuro develops self-driving technology, aiming to make autonomous vehicles accessible for everyone. Since 2016, the team has blended advanced AI with automotive-grade hardware, licensing the Nuro Driver™ to support robotaxis, commercial fleets, and personal vehicles. Partnerships with automakers and mobility platforms help bring these autonomous solutions to commercial scale. The Senior Software Engineer - Software Update Infrastructure role is part of the Fleet Connectivity team based in Mountain View, California. This position focuses on building and maintaining systems that support release infrastructure and over-the-air (OTA) updates for Nuro’s autonomous vehicles. The work covers both cloud and robotics stacks, ensuring reliable network connectivity, telemetry, and software updates that are vital to Nuro’s mission. What you will do Design, build, test, deploy, and maintain software for release infrastructure and OTA updates. Manage project priorities, deadlines, and deliverables within the team and when working with other groups. Write high-quality, testable code that meets strict code quality standards. Monitor release system performance by defining and tracking KPIs, and implement optimizations to improve build costs, times, and storage usage. Create testing and validation programs to ensure system architecture and data flows are reliable. Contribute to documentation and participate in on-call rotations during business hours. Requirements 5+ years of experience working with large-scale distributed systems. Proficiency in C++ or Go. Comfortable working in Unix/Linux environments and with Bash scripting. Ability to translate broad requirements into detailed system designs. Strong knowledge of data structures, algorithms, and distributed system software design. Bachelor’s degree in Computer Science, Electrical Engineering, or a closely related field. Bonus points Experience with SQL. Familiarity with Google Cloud Platform (GCP). UI development experience. Background in OTA updates execution and management.

Role overview Nuro is looking for a Senior Middleware Software Engineer to help build and support the software that powers its autonomous delivery platform. This role focuses on developing and maintaining middleware systems that connect different parts of the technology stack. The work directly impacts the reliability and efficiency of Nuro’s services.

Join Waymo as a Tech Lead Manager for Machine Learning Optimization, where you will spearhead innovative projects to enhance our self-driving technology. In this role, you will lead a team of talented engineers and data scientists, guiding the development of advanced algorithms and optimization techniques that drive performance and reliability. You will collaborate with cross-functional teams to ensure the successful integration of ML models into our systems, pushing the boundaries of autonomous vehicle technology.