Senior AI Infrastructure Engineer at Gatik | Mountain View, CA

Who We AreGatik is at the forefront of transforming B2B supply chains through our innovative autonomous middle-mile logistics solutions. Our autonomous transportation-as-a-service (ATaaS) is designed to ensure safe and reliable deliveries while significantly reducing congestion in freight movement. We focus on short-haul logistics for Fortune 500 retailers a…

About Us Gatik is at the forefront of autonomous middle-mile logistics, pioneering innovative solutions that enhance the B2B supply chain through our autonomous transportation-as-a-service (ATaaS) platform. Our mission is to deliver safe, reliable logistics while alleviating congestion in freight transportation. In 2021, we launched the world's first fully driverless commercial transportation service in partnership with Walmart, deploying our Class 3-7 autonomous trucks in key markets including Texas, Arkansas, and Ontario, Canada. Gatik is transforming freight logistics through cutting-edge technology. Our proprietary Level 4 autonomous technology, Gatik Carrier™, is designed specifically to ensure the safe and efficient transport of goods between pick-up and drop-off locations in the middle mile. With exceptional capabilities in both highway and urban settings, Gatik Carrier™ seamlessly integrates advanced software and hardware, providing an all-in-one solution that fits effortlessly into our clients' logistics frameworks. Role Overview We are seeking a skilled Senior Mechanical Engineer to join our Hardware Integration team. In this role, you will be responsible for designing robust engineering support structures for our sensor stack and aesthetic covers, while establishing optimized processes for low to medium volume production and preparing for future high-volume manufacturing. Collaborating with a multidisciplinary team, you will ensure the delivery of high-quality vehicle assemblies that adhere to best engineering practices and industry standards. Your expertise in mechanical structural assembly design and electronic component integration, particularly in the automotive sector, will be invaluable as you generate innovative design ideas using CAD and engage in hands-on prototyping to validate your concepts. This position requires onsite presence at our Mountain View headquarters five days a week.

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.

About UsGatik is at the forefront of transforming the B2B supply chain through our autonomous middle-mile logistics solutions. We are dedicated to enhancing safety and consistency in deliveries while alleviating freight congestion. In 2021, we proudly launched the world’s first fully driverless commercial transportation service in partnership with Walmart, deploying our Class 3-7 autonomous trucks across key markets such as Texas, Arkansas, and Ontario, Canada.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is meticulously designed to facilitate safe and efficient freight transport between pick-up and drop-off points on the middle mile. With powerful capabilities for both highway and urban environments, Gatik Carrier™ integrates advanced software and hardware, making it a seamless addition to our customers' logistics operations.Role OverviewWe are on the lookout for a skilled Senior/Staff Site Reliability Engineer to enhance the operation, monitoring, and scalability of our expanding fleet of autonomous vehicles. In this influential role, you will collaborate closely with our infrastructure and platform teams to oversee the deployment of both on-premises and cloud infrastructure, facilitating our expansion to new customer sites.Your responsibilities will include establishing and monitoring our data offload systems, remote supervision stations, and on-premises continuous integration (CI) environments, ensuring our infrastructure remains highly reliable, secure, and optimized for peak performance. This role is crucial in ensuring our autonomous operations run seamlessly while supporting the rapid growth of our fleet and client base.This position requires you to be onsite five days a week at our Mountain View, CA office!

Who We AreGatik, a trailblazer in the realm of autonomous middle-mile logistics, is transforming the B2B supply chain with its innovative autonomous transportation-as-a-service (ATaaS) solution. We prioritize safety and consistency in deliveries while enhancing freight movement and alleviating congestion. Our focus is on short-haul B2B logistics for Fortune 500 retailers, and in 2021, we proudly launched the world's first fully driverless commercial transportation service in partnership with Walmart. Our Class 3-7 autonomous trucks are actively deployed across key markets, including Texas, Arkansas, and Ontario, Canada, driving forward-thinking innovation in freight transportation.At Gatik, our proprietary Level 4 autonomous technology, Gatik Carrier™, is meticulously designed to transport freight securely and effectively between pickup and drop-off locations during the middle mile. With robust capabilities in both highway and urban environments, Gatik Carrier™ serves as a comprehensive solution that seamlessly integrates advanced software and hardware, empowering our fleet and facilitating easy incorporation into our customers' logistics operations.About the RoleWe are on the lookout for enthusiastic Senior/Staff Software Engineers who possess strong foundations in software development practices and are proficient in C++ within a production-oriented environment. The ideal candidate is a seasoned C++ developer driven by a passion for enabling the world's first safe, reliable, and efficient network of autonomous vehicles. You will collaborate with our research and software engineers to design, implement, test, and validate autonomous vehicle features for our fleet.This position is onsite at our Mountain View office.

The OpportunityAre you a seasoned Senior Software Engineer specializing in Backend Infrastructure eager to drive significant advancements at the confluence of scalable web services and innovative AI technologies? Otter.ai is on the lookout for a skilled engineer to spearhead the creation, deployment, and management of web services and infrastructure that empower our AI-driven products and initiatives. In our vibrant engineering team, you will work hand in hand with AI researchers, product managers, and technology experts to deliver transformative solutions that enhance the experiences of professional end-users and enterprise clients across various sectors.Your ImpactUtilize your extensive expertise in Python to develop and refine backend systems that integrate seamlessly with machine learning and AI-driven functionalities.Design and implement robust business logic using web frameworks such as Django, ensuring compatibility with AI components and integration with MySQL.Architect scalable solutions using technologies like Nginx, Kafka, MySQL, Cassandra, Redis, and big data platforms to facilitate sophisticated AI models and workflows.Write reusable, efficient, and maintainable code that forms the backbone of our high-performance web services and supports real-time AI analytics.Collaborate closely with AI teams to enhance data pipelines, optimize model deployment, and ensure backend systems effectively support AI-based product features.Effectively communicate with stakeholders across various teams, articulating technical strategies related to AI-enabled infrastructure.

Who We AreGatik is a trailblazer in autonomous middle-mile logistics, transforming the B2B supply chain with our innovative autonomous transportation-as-a-service (ATaaS) solution. We prioritize safe and consistent deliveries while optimizing freight movement to alleviate congestion. Our focus is on short-haul, B2B logistics catering to Fortune 500 retailers, and in 2021, we launched the world's first fully driverless commercial transport service in collaboration with Walmart. Our Class 3-7 autonomous trucks are actively deployed across key markets such as Texas, Arkansas, and Ontario, Canada, fostering innovation in freight transportation.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is meticulously designed to transport freight securely and efficiently between pick-up and drop-off points on the middle mile. With exceptional capabilities in both highway and urban settings, Gatik Carrier™ provides a comprehensive solution that seamlessly integrates advanced software and hardware, empowering our fleet and facilitating effortless integration into our customers' logistics operations.About the RoleWe are on the lookout for an adept Robotics Integration and Testing Engineer to enhance our autonomous vehicle team. In this pivotal role, you will be instrumental in integrating, validating, and testing autonomous systems, ensuring their safe and reliable performance in a variety of complex real-world environments. Your contributions will directly support the expansion and deployment of our autonomous vehicle fleet, significantly influencing transportation and logistics on a global scale.This position is based onsite at our Mountain View, CA office.

P-57 At Databricks, we are passionate about empowering data teams to tackle the world's most challenging problems. Our mission is to create and operate the premier data and AI infrastructure platform, allowing our clients to concentrate on the high-value challenges central to their objectives. Founded in 2013 by the original creators of Apache Spark, Databricks has expanded from a small office in Berkeley, California, to a global powerhouse with over 1,000 dedicated employees. Thousands of organizations, from small startups to Fortune 100 companies, rely on Databricks for their critical workloads, establishing us as one of the fastest-growing SaaS companies globally. Our engineering teams are committed to developing highly technical products that meet significant needs in the industry. We continuously push the limits of data and AI technology while ensuring resilience, security, and scalability—key factors in ensuring our customers' success on our platform. We manage one of the largest software platforms in existence, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we frequently encounter cloud hardware, network, and operating system issues, necessitating that our software effectively shields our customers from such challenges. As a Data Scientist on the Data Team, you will play a crucial role in fostering a data-driven culture at Databricks by working on the company's top priorities. The Data Team also acts as an internal customer, utilizing Databricks to shape the future direction of our products. Your Impact: Analysis at the speed of thought: Enhance decision-making capabilities by developing robust data science tools for business leaders, analysts, and fellow data scientists. Extend capabilities of Databricks: Collaborate closely with the Data Platform and Product Engineering teams to integrate data science tools with existing offerings and the core product. Strategic business insights: Spearhead insight generation for key company priorities and essential engineering initiatives focusing on reliability and efficiency. Gather evolving requirements, define project OKRs and milestones, and communicate progress and results to both technical and non-technical stakeholders. Mentor and guide junior data scientists on the team regarding project planning, technical decisions, and reviews of code and documentation. Represent the data science discipline across the organization, advocating for a more data-driven approach. Act as a representative for Databricks at academic and industry events.

Who We AreGatik is at the forefront of transforming autonomous middle-mile logistics, pioneering a transportation-as-a-service (ATaaS) model designed to enhance B2B supply chains. Our commitment to safety and efficiency is evident as we streamline freight movement and mitigate congestion. Since our groundbreaking launch of the world’s first fully driverless commercial transportation service with Walmart in 2021, we have established a strong presence in major markets such as Texas, Arkansas, and Ontario, Canada, utilizing our Class 3-7 autonomous trucks to drive innovation in freight transportation.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is expertly engineered for secure and efficient freight transport between pick-up and drop-off points on the middle mile. Gatik Carrier™ integrates cutting-edge software and hardware, ensuring seamless integration into our customers’ logistics operations across both highway and urban environments.About The RoleWe are on the lookout for a Senior Cloud Infrastructure Engineer who will be responsible for designing and managing the expansive compute and data infrastructure that supports our autonomous driving systems. As researchers focus on developing perception, planning, and world models, you will play a crucial role in establishing the high-performance systems and pipelines that enable their success. Your work will be pivotal in supporting our AI platform by ensuring that multi-GPU clusters, distributed training frameworks, and automated workflows are scalable, resilient, and cost-effective.This position requires you to be onsite at our Mountain View, CA office five days a week!

Moveworks is looking for a Senior Software Engineer focused on Search Infrastructure to help advance the company’s search technology. This position is based in Mountain View. Role overview This role centers on building and improving scalable search systems. The work directly supports better user engagement and satisfaction by making search faster and more effective. Collaboration Expect to work closely with colleagues from different teams. Joint efforts will shape the design and implementation of new search features and infrastructure improvements. Key responsibilities Design and implement scalable search solutions Enhance existing search capabilities Work with cross-functional teams to deliver improvements

Join our dynamic team at Commure as a Senior Flutter Engineer, where you will be at the forefront of developing innovative solutions in the realm of Ambient AI. In this role, you'll leverage your expertise in Flutter to create user-friendly applications that enhance our platform's functionality and user experience.

Join LinkedIn as a Fellow in Software Engineering, specializing in Infrastructure. In this role, you will collaborate with a team of experienced engineers to develop scalable and robust systems that support millions of users globally. You will be at the forefront of technical innovation, working on projects that impact the future of our platform.As a Fellow, you will have the opportunity to mentor junior engineers, drive architectural decisions, and influence the design of our infrastructure. Your expertise will be crucial in optimizing performance and ensuring reliability in our systems.

Join Our Team as an AI Research Engineer!At Creatify, we are at the forefront of revolutionizing the advertising landscape through cutting-edge AI technology. Our innovative platform serves as the world's first end-to-end AI advertising agent, automating every stage of the video ad lifecycle—from crafting scripts and generating engaging avatar-led videos to optimizing and publishing across major platforms like Meta, TikTok, and YouTube.In just a year and a half, we have achieved remarkable growth, surpassing $10 million in ARR and supporting over 1.5 million users across more than 10,000 teams. Esteemed brands such as Alibaba, HubSpot, Binance, NewsBreak, and Zumper trust Creatify for delivering personalized and high-performing video advertisements in record time.With $24 million in funding from prominent Silicon Valley investors, including WndrCo, Kindred Ventures, and Comcast Ventures, we are excited to continue our journey of innovation and excellence in the advertising sector. Our work has garnered attention from leading media outlets like Fast Company, TechCrunch, and Bloomberg TV.We are based in Mountain View, California, and our team consists of dedicated AI researchers, engineers, and advertising experts. We invite you to be part of this transformative journey in the advertising industry through AI.

At Databricks, we are dedicated to empowering data teams to tackle the world's most challenging problems—from revolutionizing transportation to accelerating medical breakthroughs. Our mission is realized by providing the world’s premier data and AI infrastructure platform, enabling customers to harness deep data insights for business enhancement. Our Search technologies are integral to this mission, facilitating keyword retrieval, semantic similarity through vector embeddings, and hybrid solutions that blend both methods. These capabilities enable users to discover and comprehend information across vast, intricate datasets, powering applications such as Retrieval Augmented Generation (RAG), AI assistants, recommendation systems, enterprise knowledge management, in-product search, and data exploration. As a Senior Engineering Manager for Search, you will be pivotal in designing and scaling our next-gen Search product, which includes Vector Search, Keyword Search, and Search Quality. You will lead the development of a robust, high-performance, cost-effective, and developer-friendly Search stack, equipping customers to create AI applications with precision, speed, and scalability. In addition to hands-on contributions, you will help define the long-term vision, mentor senior engineers, collaborate across teams, and spearhead strategic initiatives that enhance the technical and business impact of Search at Databricks.

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.

About UsAt MAI, pronounced “my,” we are dedicated to revolutionizing advanced advertising technology. Our mission is to make cutting-edge marketing tools, once reserved for large corporations, accessible to businesses of all sizes. Through our innovative platform leveraging AI agents, we automate and enhance performance marketing, enabling small and mid-sized businesses to profitably scale their ad spend without relying on agencies or spending countless hours on manual campaign management.Founded by seasoned professionals from Google and Instacart, we have successfully secured $25 million in Seed funding led by Kleiner Perkins to accelerate our growth. This investment will help us expand our product and engineering teams to realize our vision of intelligent, autonomous marketing. Our AI agents have already demonstrated their effectiveness, assisting clients in achieving 40% more sales and managing millions in monthly Google Ads expenditures. We are experiencing a rapidly growing client waitlist.Why Join Us Now?As we venture into the uncharted territory of building infrastructure for autonomous, intelligent agents, you will not merely be writing code; you will be the architect of the environment where our AI agents thrive. You will have a significant impact across our entire stack—from the foundational data platforms that support our agents to the core frameworks that empower them to reason, and the scalable systems that deliver their intelligence to our customers. This is a unique opportunity to create a truly AI-native product and tackle challenges at the forefront of the industry.You will be a vital member of a small, focused team of fewer than ten engineers, with the opportunity to shape the future of our organization. We are in the early stages of forming three core teams:Product Engineering & InfrastructureAI Platform & FoundationAgent Application & QualityThis role offers you the chance to grow your skills as these teams develop, encouraging you to leverage your specializations while exploring new projects and learning from your peers.

Who We AreGatik is pioneering the future of autonomous middle-mile logistics, transforming the B2B supply chain landscape with our innovative autonomous transportation-as-a-service (ATaaS) solution. We prioritize safe and reliable deliveries, while effectively reducing congestion to streamline freight movement. Gatik caters to Fortune 500 retailers, and in 2021, we launched the world's first fully driverless commercial transportation service in partnership with Walmart. Our Class 3-7 autonomous trucks are actively deployed across key markets including Texas, Arkansas, and Ontario, Canada, driving significant advancements in freight transportation.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is meticulously designed to ensure the safe and efficient transport of freight between pick-up and drop-off points on the middle mile. With exceptional capabilities in both highway and urban settings, Gatik Carrier™ serves as an integrated solution that combines advanced software and hardware, seamlessly fitting into our clients' logistics operations.About the RoleWe are on the lookout for enthusiastic Software Engineers who possess a strong foundation in software development practices and are proficient in C/C++ and Matlab/Simulink languages within production-oriented environments. The ideal candidate will have a robust background in Control and Optimization, along with extensive experience in software development. You will collaborate closely with our research and software engineering teams to design, develop, test, and validate the autonomous vehicle control and optimization features of our fleet.This position requires you to work onsite five days a week at our Mountain View, CA office!What You'll DoDevelop and implement software solutions for AV control systems.

About Contextual AI At Contextual AI, we are pioneering a transformation in the way AI Agents operate by tackling the most pressing challenge in AI: context. By providing the right context at the right moment, we enable enterprises to achieve the precision and scalability they need from AI. Our robust enterprise AI development platform bridges the gap between cutting-edge AI research and the practical needs of developers. Our comprehensive platform simplifies the process for AI developers to seamlessly ingest and query documents from enterprise data sources, integrating retrieval outcomes into their business workflows effortlessly. Founded by the trailblazers of Retrieval-Augmented Generation (RAG), the foundational technology that links foundational models to timely and relevant data, Contextual AI is backed by some of the most innovative venture capitalists in the industry. We are not merely a part of the enterprise AI revolution; we are at its forefront. Join us in creating a future where AI transcends mere question answering to genuinely transform businesses. Job Overview The Data Platform team within Contextual AI is integral to powering product development, applied research, and managing data-heavy workloads for our customers. This is a unique opportunity to influence the technical vision of the data engineering team, contributing to groundbreaking projects within a greenfield environment. What You’ll Do: Design and develop scalable services, APIs, and databases to efficiently handle the daily processing and ingestion of petabytes of data. Enhance state-of-the-art multimodal LLMs to maximize document understanding capabilities. Create and implement thorough evaluation pipelines for end-to-end agentic RAG workflows. Architect and construct streaming infrastructure and data orchestration systems, including vector databases. Collaborate with machine learning researchers to interpret state-of-the-art requirements for RAG systems, translating them into actionable service specifications. Engage directly with product managers and application engineers to gather customer requirements for end-to-end RAG systems, and convert these into viable technical solutions. Ensure seamless integration with machine learning models and pipelines, facilitating effective model deployment and management. Provide mentorship and guidance to junior team members, fostering a culture of knowledge sharing and professional development. What We’re Seeking: Education: A Bachelor’s degree in Computer Science, Software Engineering, or a related field. Experience: Minimum of 2 years of relevant experience in data engineering or a related field. Strong understanding of scalable data architectures and design principles. Proficiency in modern programming languages and frameworks. Experience with machine learning principles and practices is a plus.

Join Databricks as a Senior Engineering Manager, where you will lead a talented team of engineers to innovate and enhance our cutting-edge data platform. You will play a pivotal role in driving engineering excellence and delivering high-quality solutions that empower organizations to harness the full potential of their data.

About Contextual AI At Contextual AI, we are pioneering a transformative approach to how AI Agents operate by addressing one of the most significant challenges in artificial intelligence: context. Providing the right context at the right moment is crucial for achieving the precision and scalability that enterprises demand from AI technologies. Our innovative enterprise AI development platform bridges the gap between cutting-edge AI research and practical developer requirements. This comprehensive platform empowers AI developers to seamlessly and accurately ingest and query documents from vast enterprise data sources, integrating retrieval outcomes into their business workflows. Founded by the trailblazers behind Retrieval-Augmented Generation (RAG), a foundational technique that connects foundational models with current and pertinent information, Contextual AI is at the forefront of the enterprise AI revolution. Supported by visionary venture capitalists, we are not merely participating in this evolution; we are shaping its future. Join us in crafting a world where AI goes beyond answering queries to fundamentally transforming business operations. Job Overview We are seeking a dedicated Security Software Engineer who will be instrumental in developing core product features while infusing deep security expertise into every facet of our AI systems and platforms. This role predominantly focuses on software engineering and necessitates extensive security knowledge. You will create customer-facing features while ensuring our platform meets the highest security standards. Your contributions will directly enhance platform functionality, integrating security considerations into every aspect of your work. This role offers a unique opportunity to be at the cutting edge of cybersecurity within the dynamic realm of artificial intelligence. What You Will Do: Develop production code for security features, including authentication systems, authorization frameworks, encryption services, and data privacy controls. Design and implement robust security architectures for our AI systems, covering authentication, access controls, and identity management. Work closely with the Engineering team to ensure all released features are secure by design. Collaborate with cross-functional teams to integrate security into the software development lifecycle and DevOps processes. Provide education and training for engineering and product teams regarding security best practices, policies, and procedures. What We Are Looking For: Bachelor's or Master's degree in Computer Science, Information Security, or a related field. A strong foundation in software engineering with security expertise, including 5+ years of production experience and proficiency in programming languages such as Python, Java, or C/C++. A deep understanding of cybersecurity principles and industry standards.