Technical Staff Member - LLM Systems & Performance

About Contextual AIAt Contextual AI, we are at the forefront of transforming how AI agents operate by addressing one of the most significant challenges in the field: context. By providing the right context at the right moment, we enable enterprises to achieve the accuracy and scalability required for effective AI deployment. Our innovative enterprise AI development platform bridges cutting-edge AI research with the practical needs of developers, allowing them to seamlessly ingest, query, and integrate data from various enterprise sources into their workflows.Founded by the pioneers of Retrieval-Augmented Generation (RAG), our technology forms the backbone of the context layer that connects foundational AI models with relevant real-time information. Supported by visionary venture capital, we are not merely participating in the enterprise AI revolution; we are leading it. Join us as we create a future in which AI not only answers queries but also revolutionizes business operations.About the RoleAs a Member of Technical Staff focused on LLM Systems & Performance, you will join a dedicated and impactful team responsible for building and optimizing LLM systems from end-to-end. Your work will range from developing Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) pipelines to creating high-throughput inference clusters for production environments. You will collaborate with both researchers and engineers to design advanced models and the supporting infrastructure for our context layer.What You'll DoEnhance and optimize components of our SFT and RL training pipelines (e.g., Verl, SkyRL), focusing on areas such as data loading, training loops, logging, and evaluation.Contribute to the development of LLM inference infrastructure (e.g., vLLM, SGLang), including optimizations for batching, KV-cache management, scheduling, and serving.Utilize profiling tools like Nsight to analyze and improve end-to-end performance metrics (throughput, latency, compute/memory/bandwidth) by identifying and resolving bottlenecks.Engage with distributed training and inference systems using technologies such as NCCL, NVLink, and various parallelism strategies on multi-GPU clusters.Assist in experimenting with and implementing quantization techniques (e.g., INT8, FP8, FP4, mixed-precision) for both training and inference.Write and optimize GPU kernels utilizing CUDA or Triton, employing techniques such as FlashAttention and Tensor Cores as appropriate.Collaborate with researchers to advance ideas from concept to prototype, through scaled experiments, and into production.

About Contextual AI At Contextual AI, we are at the forefront of transforming the functionality of AI Agents by addressing one of the most significant challenges in artificial intelligence: context. By providing the right context at the right moment, we enhance the precision and scalability that enterprises leveraging AI demand. Our comprehensive enterprise AI development platform bridges the gap between groundbreaking AI research and the practical needs of developers. It empowers AI developers to efficiently ingest and query documents from various enterprise data sources, seamlessly integrating retrieval results into their business processes. Founded by the trailblazers of Retrieval-Augmented Generation (RAG), the core technique that connects foundational models to real-time, relevant information, Contextual AI is supported by visionary venture capitalists. We are not merely participants in the enterprise AI revolution; we are shaping its direction. Join us in crafting a future where AI not only answers inquiries but also revolutionizes business operations. About the Role As a Research-focused Member of Technical Staff, you will engage in pioneering AI research initiatives, contributing significantly to the development of Contextual RAG pipelines, including retrieval systems, language models, and alignment methodologies. Responsibilities Lead research projects in language modeling, retrieval, alignment, retrieval-augmented generation, end-to-end training, and evaluation. Develop and implement scalable infrastructure and tools that facilitate effective research and model development. Continuously review and stay informed about current literature, advancements, and industry best practices. Participate in the entire research pipeline, from ideation and experimentation to analysis and deployment. Publish research findings that contribute novel insights to the field of AI. Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field; Master's or PhD preferred. Solid software engineering fundamentals with a proven history of developing complex systems. Deep understanding of core machine learning principles with hands-on experience in language modeling, retrieval, large-scale training, or evaluation. Research experience (academic or industry) is highly advantageous, including knowledge of experimental design, analysis, and research methodologies. Exceptional problem-solving capabilities and the ability to excel in a dynamic research environment.

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!

Role Overview Anduril Industries is hiring a Staff System Modeling Engineer for Warfighter Systems in Mountain View, California. This role centers on applying advanced modeling methods to improve military systems and support mission success. Work here shapes the effectiveness of defense solutions and has a direct impact on operational outcomes.

At Commure, we are dedicated to transforming healthcare by simplifying the experience for both providers and patients. Our ambitious vision is to redefine care delivery and set a new benchmark in the industry. Our advanced suite of AI solutions includes ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management, and much more. All our innovations are crafted to enable healthcare professionals to concentrate on what truly matters: delivering exceptional care.The healthcare sector, valued at $4.5 trillion, incurs more than $500 billion in administrative expenses annually. Commure is at the forefront of this transformation, empowering over 500,000 clinicians across numerous care facilities nationwide. We facilitate over $10 billion in transactions through our systems and support more than 100 million patient interactions. With exciting product launches ahead, plans for expansion into new care segments, and a bold strategy to address healthcare's most significant challenges, we aspire to transition from an innovative startup to the industry standard in the coming years.Recently recognized in Fortune’s Future 50 list for 2025, Commure is backed by premier investors such as General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, and Greenoaks Capital. With over 300% year-over-year growth for the past two years, we are just getting started. The moment for AI-driven healthcare transformation is now, and we invite you to help us shape its future.About the RoleWe are in search of a Staff Technical Product Manager to spearhead the development of next-generation AI-enhanced tools for healthcare providers. This pivotal role focuses on streamlining medical billing processes by creating an automation engine that manages the entire revenue cycle, enabling our clients to prioritize patient care over administrative tasks.Full-time position requires working 3 days a week in our Mountain View office (Hybrid)

About UsAt Aurora, we are dedicated to advancing self-driving technology that enhances safety, efficiency, and accessibility across transportation and logistics.Discover The Aurora Driver and join us in shaping the future of mobility.Become part of a team that thrives on solving intricate challenges, collaborating with like-minded professionals, and growing your expertise. For the latest updates from Aurora, visit aurora.tech or follow us on LinkedIn.We are on the lookout for a talented Staff Hardware Systems Architect to join our Hardware Architecture team. In this pivotal role, you will be instrumental in shaping the future of self-driving vehicle architectures while supporting cutting-edge systems deployed in the field. This is a unique opportunity that offers complete ownership—from the architectural design phase through validation and deployment—allowing you to tackle highly complex integration challenges across multiple disciplines.

Who We AreGatik is at the forefront of transforming middle-mile logistics through our cutting-edge autonomous transportation-as-a-service (ATaaS) solution. Our focus is on delivering safe and consistent services while enhancing freight movement efficiency and alleviating congestion. In 2021, we made history by launching the world's first fully driverless commercial transportation service in partnership with Walmart, with our Class 3-7 autonomous trucks actively operating in key markets like Texas, Arkansas, and Ontario, Canada.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is meticulously engineered to facilitate safe and efficient freight transportation between pick-up and drop-off points. With robust capabilities tailored for both highway and urban settings, Gatik Carrier™ represents a comprehensive solution that seamlessly integrates advanced software and hardware to optimize logistics operations for our clients.About the RoleWe are seeking a Senior/Staff Systems Engineer to lead the Verification and Validation processes for Gatik’s autonomous vehicle systems. This position is primarily located at our headquarters in Mountain View, CA, with additional opportunities available in Fort Worth, TX.What You Will DoEstablish and implement model-based system engineering (MBSE) practices and methodologies for effective requirements management, ensuring clear communication of functional and performance requirements across stakeholders and system levels.Provide advanced systems expertise in integrating architectural changes and component revisions, ensuring optimal performance and efficiency in autonomous vehicle operations.

We are seeking a highly skilled Software Engineering Manager to lead our LLM Training team at LinkedIn. In this dynamic role, you will oversee a team of talented engineers and guide the development of state-of-the-art machine learning models that power our platform. Your leadership will be crucial in driving innovation and ensuring the successful execution of projects. You will collaborate with cross-functional teams to enhance our AI capabilities and deliver cutting-edge solutions.

Waymo is a trailblazer in autonomous driving technology, dedicated to becoming the most trusted driver in the world. Originating as the Google Self-Driving Car Project in 2009, our mission has been to develop the Waymo Driver—The World’s Most Experienced Driver™—which enhances mobility access and aims to save thousands of lives currently lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and can be integrated across various vehicle platforms and product applications. With over ten million rider-only trips, our technology has been validated through more than 100 million miles of autonomous driving on public roads and tens of billions in simulation across 15+ U.S. states.As a Technical Program Manager at Waymo, you will play a pivotal role in executing our roadmap by fostering effective cross-functional planning, ensuring clarity, and proactively managing risks. In a landscape filled with intricate technical and operational challenges lacking predefined solutions, you will act with a sense of urgency, driving critical conversations and outcomes. Collaborating closely with all functions at Waymo, you will structure, own, and propel the work necessary for real-world deployments of the Waymo Driver across platforms and regions.This position follows a hybrid work model and reports to a Technical Program Manager.

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

Waymo, a pioneer in autonomous driving technology, is dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our mission is to develop the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save countless lives currently lost to traffic accidents. The Waymo Driver not only fuels our fully autonomous ride-hail service but can also be integrated into various vehicle platforms and applications. With over ten million rider-only trips completed and more than 100 million miles driven autonomously on public roads, alongside extensive simulation experience across 15+ U.S. states, our impact is profound.The Planner Reasoning Team plays a crucial role in shaping the Waymo Driver’s behavior and extends its influence throughout the organization. As a Staff Technical Lead, you will be instrumental in scaling the performance of the Waymo Driver and enhancing our renowned safety standards as we expand our services to additional cities.

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 committed to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and ultimately save lives lost to traffic incidents. The Waymo Driver not only powers our fully autonomous ride-hail service but is also adaptable to various vehicle platforms and applications. With over ten million rider-only trips facilitated and more than 100 million miles driven autonomously on public roads, along with extensive simulation across over 15 U.S. states, we are redefining transportation.The Software Engineering team is the brain behind Waymo’s autonomous driving capability. Our systems empower the Waymo Driver to accurately perceive its surroundings, make informed decisions, and safely transport individuals to their destinations. We tackle complex technical challenges in robotics, perception, decision-making, and deep learning, collaborating closely with hardware and systems engineers. If you are a software engineer or researcher with a passion for Level 4 autonomous driving, we want to connect with you.The Sensor Foundations Team is essential in providing clean, optimized sensor data through robust APIs to our Perception models. We aim to abstract hardware differences and deliver low-level Perception signals using advanced algorithms or machine learning approaches. Team projects require a versatile skill set, including robotics, system integration, code optimization, and machine learning expertise.Within the Optimization sub-team, we leverage our knowledge of CPUs, GPUs, and sophisticated algorithms to rapidly process Waymo’s sensor data, feeding it into Perception ML models. Our focus on low-level compute hardware understanding allows us to apply this knowledge throughout the entire technology stack. We are seeking a Tech-Lead Manager with expertise in CPU, GPU, or system-level optimization to guide our small team of Software Engineers. Depending on your experience, you may also oversee system-level optimization and manage our compute resources.This position follows a hybrid work model and reports directly to the Technical Lead Manager of the Sensor Foundations team.

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, our mission is to enhance mobility access and save lives through innovative solutions. The Waymo Driver—The World’s Most Experienced Driver™—powers our fully autonomous ride-hail service and adapts to various vehicle platforms and use cases. With over ten million rider-only trips and 100 million miles driven autonomously on public roads, we are transforming the future of transportation.We are on the lookout for a seasoned Technical Lead Manager (TLM) to spearhead our Vehicle Understanding team. In this pivotal role, you will oversee production modules related to Vehicle Understanding for the Waymo Driver, focusing on vehicle classification, states, and intents. This position is crucial for Waymo's expansion both domestically and internationally, allowing you to make a significant impact and drive innovative changes that enhance the generalizability of the Waymo Driver.In this hybrid position, you will report directly to our Senior Staff TLM of Semantics Understanding.

Waymo seeks a Senior Machine Learning Engineer with a focus on Large Language Model (LLM) and Vision-Language Model (VLM) distillation. This role is based in Mountain View, California, and centers on advancing the machine learning models that drive Waymo’s autonomous vehicles. Collaboration with both data science and engineering teams is a key part of the work, with an emphasis on refining and optimizing model performance. Key responsibilities Design and implement algorithms to distill LLMs and VLMs for greater efficiency. Work with large datasets to support learning and adaptation in self-driving systems. Partner with cross-functional teams to bring optimized models into production environments. Continually improve the performance and efficiency of models that power autonomous driving technology. Requirements Hands-on experience with machine learning, with a strong background in LLM and VLM distillation. Proven problem-solving skills and the ability to apply machine learning creatively to practical challenges. Interest in tackling real-world problems related to autonomous vehicles.

Join our innovative team at ServiceNow as a Senior Staff Software Engineer specializing in Agentic AI Systems. In this critical role, you will lead the design, development, and implementation of cutting-edge AI solutions that enhance our customer experience and drive operational efficiency. You will work collaboratively with cross-functional teams to create scalable and robust systems that utilize advanced machine learning techniques.

Who We Are Nuro is a pioneering self-driving technology firm dedicated to making autonomous vehicles a reality for everyone. Established in 2016, we are at the forefront of developing the world’s most scalable autonomous driving system, merging advanced artificial intelligence with robust automotive hardware. Nuro licenses its flagship technology, the Nuro Driver™, to facilitate various applications, from robotaxis and commercial fleets to personal vehicles. With proven technology from years of autonomous driving deployments, Nuro equips automakers and mobility platforms with a clear trajectory towards commercial-scale autonomous vehicles, fostering a safer, more enriched, and interconnected future. About the Role At Nuro, safety is not merely a checklist; it is the foundation of our innovation. We are in search of a Systems Safety Technical Program Manager (TPM) who can navigate the intersection of functional safety standards, platform integration, and multidisciplinary engineering. Your contributions will be pivotal in delivering a vehicle that earns public trust on every journey. In this capacity, you will oversee the execution of safety programs across hardware, embedded software, and control systems. This involves translating ISO 26262 requirements into actionable strategies, driving the creation of functional safety artifacts from concept through validation, and ensuring our safety case is thorough, traceable, and prepared for audits. About the Work Safety Program Management Lead the comprehensive execution of functional safety workstreams, while coordinating with Controls, Hardware, and Embedded Software teams. Develop and uphold program timelines, risk registers, and interdepartmental dependency maps to guarantee timely delivery of safety milestones. Oversee the tracking and resolution of safety-related action items, open issues, and audit results across the vehicle platform. Functional Safety & Standards Steer the development, review, and upkeep of Functional Safety Requirements (FSRs) and Technical Safety Requirements (TSRs) in compliance with ISO 26262 standards. Assist with Hazard Analysis and Risk Assessment (HARA), Failure Mode and Effects Analysis (FMEA), Fault Tree Analysis (FTA), and safety goal derivation processes in collaboration with systems safety engineers. Ensure that safety work products are complete, consistent, and compliant with applicable Automotive Safety Integrity Level (ASIL) targets (A–D). Platform Integration, Testing & Validation Collaborate with integration and validation teams to establish safety-focused test strategies for platform-level and system-level verification. Monitor coverage of safety requirements through integration testing, including Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL).

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 committed to developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. With the Waymo Driver powering our fully autonomous ride-hail service, we have achieved over ten million rider-only trips, backed by more than 100 million miles driven autonomously on public roads and tens of billions of miles simulated across 15+ U.S. states.The Waymo Mapping Team is on a mission to create a high-resolution map of the world to ensure safe autonomous driving. Our innovative approach combines automated and manual mapping techniques, alongside building the necessary infrastructure to store, process, and disseminate mapping data. Collaboration is key as our team partners with various Waymo divisions that depend on map data.In this role, you will:Lead a dynamic team focused on Field Response infrastructure, driving the next phase of Waymo’s rapid expansion.Own the strategy and roadmap for Mapping change detection, a pivotal element in scaling our mapping capabilities.Recruit and mentor a team of engineers to tackle complex business challenges and technical obstacles.Design and implement mission-critical systems that enable low-latency responses from Waymo’s fleet signals.Build resilient backend infrastructure and data processing systems that can scale with Waymo’s growth.You have:A seasoned managerial background, enthusiastic about leading teams while maintaining technical expertise.Proven experience as a backend engineer, with a history of building server-side infrastructure and effective data processing systems.Strong programming skills, with C++ being highly preferred.Over 7 years of total professional experience, including at least 2 years in a managerial role.A robust sense of ownership and the ability to navigate uncertainty effectively.A successful track record of guiding teams through complex technical challenges.It’s a bonus if you possess:Experience in Mapping and Localization.Background in the Autonomous Vehicle industry.Experience in hiring and developing a new team.#Li-Hybrid

The RoleAre you a talented software engineer eager to leverage your extensive experience in developing and enhancing production systems at the forefront of AI technology? If so, we invite you to consider our Staff Software Engineer position on the Natural Language Understanding team within our 'agent lab'. In this pivotal role, you will contribute significantly to our mission of extending the capabilities of AI agents to execute tasks reliably on a large scale.As part of the Moveworks AI Assistant platform, you will lead the innovation in areas such as agent orchestration, sandboxed file systems, latency optimization, agent memory, and the advancement of LLMs (Large Language Models). Our team thrives on rapidly developing scalable infrastructure and tackling complex product and engineering challenges to maximize value for our customers. If you aspire to achieve the pinnacle of your career while working with a passionate and impactful team, we would love to connect with you.What You Will Do:Lead and tackle challenging engineering projects to create and enhance dependable AI agent systems.Define and implement cutting-edge distributed systems, ensuring their scalability and production readiness, while integrating the latest advancements in machine learning and AI.Set technical direction and influence the engineering roadmap to deliver enduring value to our clients.Establish high standards for code quality, including robustness, extensibility, and performance.Collaborate with senior experts across various domains, including machine learning, security, product development, and customer success, to build world-class enterprise AI solutions.Mentor and develop team engineers, focusing on technical design, execution, and excellence.Work closely with machine learning engineers to define and develop end-to-end architecture for outstanding AI systems.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world’s most trusted driver. Originating from Google's Self-Driving Car Project in 2009, Waymo has been tirelessly developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable to diverse vehicle platforms and applications. With over ten million rider-only trips completed and more than 100 million miles driven autonomously on public roads, Waymo continues to lead the industry in safety and efficiency.As a member of the Onboard Software Performance team, you will play a crucial role in ensuring that systems operating on Autonomously Driven Vehicles (ADV) adhere to stringent performance standards. This includes delivering essential outputs within strict latency constraints while optimizing the allocation of computing resources (CPU/GPU/TPU/RAM) for each submodule, all while maintaining high reliability and supporting rapid system evolution.

Waymo is at the forefront of autonomous driving technology, striving to be the world's most trusted driver. Originating 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 save countless lives that are lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and can be integrated into various vehicle platforms and applications. With over ten million rider-only trips completed and extensive experience gained from autonomously driving over 100 million miles on public roads and tens of billions of miles in simulation across more than 15 states, we are leading the way in transforming transportation.The Waymo Applied Research team is committed to pioneering machine learning solutions that tackle significant challenges in autonomous driving, with the ultimate aim of safely operating Waymo vehicles across numerous cities and diverse driving conditions. Our team actively initiates and nurtures collaborations with other research teams within Alphabet to drive innovation.In this hybrid role, you will report directly to a Technical Lead Manager.