Software Engineer for Advanced Analytics Platform

Join our innovative team at Zoox as a Software Engineer, where you will be instrumental in shaping the future of our Analytics Platform. You will work collaboratively with a talented group of engineers and data scientists to develop cutting-edge solutions that drive data insights and analytics.

At Replit, we are revolutionizing software creation by empowering individuals to develop applications using natural language. With a vibrant community of millions and over 500,000 business users globally, we are breaking down traditional barriers to software development, making it accessible to everyone.About the Position:As a New Graduate Software Engineer, you will become part of a talented team dedicated to transforming the way software is created worldwide. You will engage in projects ranging from our AI-driven development platform to the distributed systems that facilitate real-time collaboration among millions of developers.This role offers you a unique opportunity to shape your career while influencing the future of software development. You will tackle meaningful challenges, with the autonomy to devise innovative solutions and the mentorship needed to evolve into a technical leader.Your Contributions:User-centric product features that enable anyone to create software effortlessly.AI coding assistant that comprehends user intent and crafts production-ready applications.Robust cloud infrastructure delivering instant, scalable development environments globally.Platform functionalities enabling seamless one-click deployments for millions of users.Essential Qualifications:Recent graduate (2024-2026) holding a degree in Computer Science, Computer Engineering, or a related discipline.Proficient in programming with modern languages such as JavaScript/TypeScript, Python, Go, or Rust.Experience in full-stack development, particularly with React, Node.js, and various database technologies.Demonstrated eagerness to learn new technologies and assume greater responsibilities.A collaborative mindset, thriving in cross-functional teams and appreciating diverse perspectives.Our Core Values:A problem-solving attitude: Approach complex challenges systematically and devise effective solutions.Self-motivated and independent: Able to work autonomously while collaborating effectively within cross-functional teams.

Join Replit, the pioneering software creation platform that empowers individuals to develop applications effortlessly using natural language. With a global community of millions and over 500,000 business users, Replit is revolutionizing software development by eliminating traditional barriers to app creation.About ReplitAt Replit, we are on a mission to create the world's most accessible AI coding agent. The Replit Agent allows anyone to turn their ideas into reality, whether it's a personal app, a groundbreaking startup idea, or a productivity tool for work. We take pride in being at the forefront of secure vibe coding, ensuring that our users can build applications securely while managing risks effectively.About the RoleAs a Senior Software Engineer on our Agent Platform team, you will develop robust tools that empower product engineers to iterate quickly on the Agent experience and enhance the core Agent functionality itself. You will serve as a vital link between the AI team, focused on core Agent logic, and the UX team, dedicated to crafting engaging Agent experiences. This role combines systems engineering, developer experience, and product engineering, addressing complex challenges from browser-based interfaces to high-performance backends and Linux systems engineering. We seek engineers who understand the product experience and can support it with efficient systems. You’ll have the chance to advance your skills across our infrastructure and product while leading impactful initiatives. We value diverse backgrounds and encourage all candidates to apply.Your ResponsibilitiesDevelop high-throughput backend applications and services, such as real-time chat functionality between users and the agent.Design a collaborative “Multiplayer Computer” that allows humans and AI agents to work together seamlessly on shared shells, filesystems, and states in real-time.Create infrastructure (both frontend and backend) that enables product engineers to deliver exceptional user experiences rapidly.Build reliable, well-structured interfaces between the Agent and both internal and external agentic systems (MCP).

Join Replit, a revolutionary software creation platform that empowers individuals and businesses to develop applications using natural language. With a vibrant community of millions and over 500,000 business users globally, we are breaking down barriers to software development and making it accessible to all.About the RoleAs a key member of our Enterprise Platform team, you will play a critical role in establishing the foundational infrastructure that enables major organizations to utilize Replit within their specific security and compliance frameworks. In this position, you’ll be responsible for designing and implementing the necessary deployment flexibilities, networking capabilities, authorization systems, and data management controls that enterprises demand, from single-tenant architectures to custom policy enforcement and customer-managed encryption.You will collaborate at the intersection of cloud infrastructure and enterprise needs, working closely with our Platform Engineering, Security, and Sales teams to deliver capabilities that facilitate adoption among even the most demanding organizations.Your ResponsibilitiesDesign Enterprise Deployment Infrastructure: Craft and implement single-tenant and dedicated deployment solutions, ensuring customers can operate Replit with the necessary isolation to meet their security requirements.Develop Private Networking Solutions: Construct VPC peering, private connectivity, and static IP configurations that seamlessly integrate Replit into existing enterprise network architectures.Establish Authorization Services: Create the authorization frameworks that enforce customized enterprise policies, allowing for detailed access controls, tailored permission structures, and policy enforcement that aligns with clients' identity and governance systems.Implement Data Protection Features: Develop solutions for bring-your-own-key (BYOK) encryption, customer-managed keys, and data residency controls, empowering enterprises with control over their sensitive information.Automate Infrastructure Deployment: Write Terraform modules and automation scripts to facilitate reliable and repeatable enterprise deployments across various regions and configurations.Troubleshoot and Strengthen Systems: Engage deeply with complex infrastructure challenges spanning networking, authorization, Kubernetes, and cloud services to enhance the robustness and diagnosability of our enterprise platform.Collaborate with Go-to-Market Teams: Partner with Sales and Customer Success to gain insights into enterprise infrastructure needs and ensure alignment in delivering comprehensive solutions.

Zoox is pioneering the future of transportation by designing autonomous robotaxis that prioritize safety, reliability, sustainability, and user experience. As we embark on the exciting journey of deploying our robotaxis on public roads, we invite you to join our mission and make a meaningful impact. The ML Platform team at Zoox is integral to advancing innovations in machine learning (ML) and artificial intelligence (AI), striving to create a seamless autonomous driving experience.The OpportunityAre you ready to facilitate cutting-edge ML applications that enhance autonomous driving, scene understanding, and automated mapping? In this pivotal role, you will collaborate with all ML teams at Zoox—including Perception, Behavior ML, Simulation, Data Science, Collision Avoidance—as well as our Advanced Hardware Engineering group to define our next-generation autonomous hardware. Your contributions will redefine ML practices within Zoox.At Zoox, we develop and maintain the foundation of ML tools, deep learning frameworks, inference libraries, and ML infrastructure utilized by our research teams for both in-vehicle and off-vehicle ML applications. We ensure that the requirements of both the vehicle and ML teams are met through effective coordination across the organization. In this role, you will be instrumental in accelerating the transition from ideation to production of cutting-edge AI innovations. As we expand our robotaxi deployments and explore new ML domains, the growth opportunities within our team are substantial. To delve deeper into our technology underlying autonomous driving, please visit here.

Join Zoox's innovative Enterprise Applications Engineering team, the cornerstone of software advancement within our organization. We collaborate across all sectors, including manufacturing, fleet operations, vehicle development, and corporate functions, to pinpoint unique challenges and craft essential software solutions that enhance our operations. Our mission is to propel Zoox forward by equipping our teams with tools and systems that facilitate speed, efficiency, and scalability. As a leader in this dynamic team, you will gain a comprehensive perspective of our entire organization and tackle diverse challenges pivotal to transforming transportation.In this pivotal role, you will lead and mentor a team of Application Engineers dedicated to designing and deploying scalable, high-performance enterprise applications. Your strong technical acumen combined with effective people management will uplift our engineering practices, drive modern development methodologies, and influence the way enterprise software is developed across the organization.

Join the innovative Data team at Zoox, where we harness insights from our autonomous vehicles and operations to assess autonomy and service readiness. Our work lays the groundwork for strategic decision-making, propelling us towards the launch of our autonomous mobility service. In this role, you will be pivotal in developing and implementing next-generation data pipelines that provide crucial visibility into our business as we expand. You will define the system architecture and construct the pipeline necessary for Zoox to thrive with a data-centric culture.As a member of our diverse and experienced team, you will have access to one of the most unique datasets in the autonomous vehicle sector, with opportunities for growth available to individuals at all skill levels.

As a Staff Machine Learning Engineer at Zoox, you will play a crucial role in shaping the future of autonomous mobility. You will work with a talented team to design and implement cutting-edge algorithms that enable the mapping and understanding of the world around our vehicles. This position is ideal for innovative thinkers who thrive in a dynamic environment and are passionate about machine learning and artificial intelligence.

Join us in revolutionizing personal transportation at Zoox, where we're creating a safer, cleaner, and more enjoyable future. Our unique vehicle design is tailored for navigating dense urban environments with bidirectional driving capabilities and four-wheel steering, enabling seamless maneuverability in tight spaces without the need to reverse. We are seeking an experienced Engineering Manager to lead our Perception Occupancy and Rare Events team. In this role, you will oversee the development of Zoox’s cutting-edge 3D environment model utilizing multi-modal sensor data. Your expertise will guide the creation of innovative AI architectures that blend the latest academic advancements with our pioneering in-house innovations. Our algorithms are meticulously optimized to perform effectively on diverse real-world data and in simulations. As a leader, you will steer high-impact teams, charting technical roadmaps and achieving milestone goals. Collaboration with other AI domains—such as Simulation, Sensor and Hardware, and Systems Design and Mission Assurance—will be essential in delivering a top-tier object occupancy perception system that integrates modalities including vision, lidar, radar, and long-wave IR. You will mentor a diverse team, tackling some of the most intricate challenges in artificial intelligence, perception, and sensor fusion.

High-definition maps are essential for ensuring safe and scalable autonomous driving. We are on the lookout for driven engineers who are enthusiastic about tackling intricate, real-world challenges while developing cutting-edge mapping systems.This position involves collaborating with a diverse and cross-functional team to design and implement extensive HD mapping algorithms, workflows, and data pipelines. Your contributions will significantly enhance our capability to efficiently map new urban areas and continuously update existing maps on a large scale, playing a pivotal role in expediting our autonomous vehicle deployment.

Role overview Zoox is seeking a Software Engineer focused on C++ GPU performance to help improve the efficiency of advanced systems. This role works closely with engineers and researchers to identify and implement solutions that increase system speed and reliability.

Join our team as an Autonomous Vehicle Safety Data Engineer on a contract basis, where you will play a vital role in ensuring the safety of Zoox's autonomous vehicles. The Safety Strategy & Operations team is dedicated to establishing and executing safety protocols, from thorough safety planning and risk management to operational safety, data analysis, and regulatory compliance. This position focuses on leveraging fleet and simulation data to assess and enhance behavioral safety and hardware performance of our autonomous vehicles.You will be instrumental in analyzing fleet data to pinpoint critical safety incidents, evaluate system behavior, and refine strategies that impact vehicle performance in complex environments. Your responsibilities will include developing and maintaining robust data infrastructure to highlight safety-related interactions, evaluate AV events, and provide data-driven insights to inform autonomy development. Additionally, you will build scalable data pipelines and metrics that ensure we receive reliable signals from the data, directly influencing our assessment of system readiness and accelerating safe deployment.Key Responsibilities:Develop and maintain data miners that identify significant events from fleet and simulation data.Enhance the accuracy and efficiency of existing miners using advanced statistical and machine learning techniques.Construct scalable data pipelines and dashboards to monitor miner performance and key safety metrics.Conduct exploratory data analyses to reveal trends and opportunities to improve vehicle behavior.Triage and evaluate AV events for potential safety, legal, or regulatory concerns.Establish clear triage guidelines for both onshore and offshore teams.Support regulatory reporting processes with relevant data and analyses.

Join Zoox as a Senior/Staff Identity and Access Management (IAM) Engineer where you will play a pivotal role in enhancing our security infrastructure. You will be responsible for designing, implementing, and managing IAM solutions that align with our business goals, ensuring secure access to critical resources.In this position, you will work collaboratively with cross-functional teams to identify security requirements and develop robust IAM strategies. Your expertise will help us safeguard our systems and protect sensitive data while providing a seamless user experience.

Replit is a groundbreaking platform that revolutionizes software creation, empowering individuals to build applications seamlessly using natural language. With a thriving community of millions and over 500,000 businesses utilizing our services, Replit is on a mission to democratize software development and eliminate the conventional barriers that hinder application creation.About the Opportunity:As a member of our innovative engineering team, you will embark on a 12-week, paid internship where you will collaborate with top-tier engineers, designers, and product managers to shape the future of software development. You will work on impactful features that serve millions, ranging from our AI-driven development environment to the infrastructure that supports dynamic collaboration.This internship goes beyond traditional learning; you will contribute meaningful code that furthers the democratization of software creation. Whether you're optimizing cloud infrastructure, crafting user-friendly developer tools, or enhancing our AI capabilities, your contributions will empower creators globally.Your Responsibilities:Deliver real features to our extensive developer community using Replit's platformEngage in cross-functional collaboration with engineers, designers, product managers, and AI researchersEnhance developer experiences that make coding accessible for everyoneDevelop and optimize cutting-edge AI tools and infrastructure that drive the next wave of software creationGain insights from industry leaders in a dynamic environment that values your ideas and contributionsQualifications:Currently enrolled in a Bachelor's, Master's, or PhD program in Computer Science, Computer Engineering, or a related technical disciplineMust have at least one semester of academic coursework remaining post-internshipProficient in at least one programming language with comfort in full-stack developmentDemonstrated passion for developer tools, AI, and making technology accessibleAbility to thrive in a fast-paced environment and adapt to shifting prioritiesOur Core Values:Innovative Problem Solving: Approach complex challenges with strategic thinking and create effective solutionsCollaboration: Foster a culture of teamwork and support to achieve shared goalsInclusivity: Embrace diversity and create an environment where everyone’s voice is heard

Join Zoox as a Senior Machine Learning Engineer specializing in Scene Understanding. In this role, you'll leverage your expertise to develop advanced algorithms and models that enhance the understanding of complex scenes for autonomous vehicles. You will be part of a dynamic team that is committed to innovation and excellence in the field of machine learning.

Join Accellor, an innovative AI-native services firm designed for the post-ChatGPT landscape. We are unencumbered by legacy systems, focusing on delivering quantifiable business results through cutting-edge AI, data, and engineering solutions. Our mission is to operationalize AI effectively and unlock sustained value for enterprises.We offer a diverse range of services including AI solutions, data services, enterprise applications, and product engineering tailored to specific industries such as healthcare, life sciences, telecommunications, retail, financial services, and technology. By utilizing design thinking and technology-agnostic architectures, we ensure rapid value creation and smooth interoperability.With a robust track record of transforming Fortune 100 companies and global innovators, Accellor is your trusted partner in unlocking the full potential of AI. Our vision is to create intelligent, interconnected ecosystems that yield measurable results and reshape the future of enterprise transformation.We are currently looking for a Salesforce Promotions Engine & Loyalty Management Consultant/Architect to spearhead the design and implementation of enterprise-scale promotions and loyalty ecosystems.This role involves architecting and delivering Salesforce-based engagement solutions that integrate Salesforce Promotions, Loyalty Management, Data Cloud, Marketing Cloud, Service Cloud, MuleSoft, mobile platforms, and backend systems.You will drive comprehensive customer engagement initiatives, including incentive programs, promotional campaigns, referral systems, tiered loyalty models, and partner integrations across digital channels.

Join Zoox as an AI Inference Engineer specializing in Model Optimization & Deployment, where you will play a vital role in advancing our cutting-edge autonomous vehicle technology. You will be responsible for optimizing AI models to ensure efficient deployment and high performance in real-world scenarios. Your expertise will help shape the future of mobility.

Join the visionary Perception team at Zoox, where we are revolutionizing autonomous vehicle technology by creating an intricate understanding of our surroundings for self-driving robots. Our mission is to facilitate safe and efficient navigation within complex environments through advanced detection, classification, and tracking systems.As a pivotal software engineer on the perception mapping team, you will drive the development of Zoox's online mapping initiative. Your responsibilities will include designing, training, validating, and seamlessly integrating machine learning models that identify semantic map elements in real-world settings. You will engage in all facets of machine learning development, from data collection and annotation to training, validation, and onboard integration. Your contributions will be instrumental in achieving key milestones that enhance our scaling and autonomy capabilities, playing a crucial role in Zoox's success.

Join the innovative 3D Simulation team at Zoox, where we are at the forefront of merging cutting-edge machine learning with advanced 3D vision technology. We are seeking passionate machine learning engineers to help enhance the realism in simulations and promote diversity within virtual environments. You will leverage unparalleled access to world-class sensor data and a robust infrastructure designed for rigorous testing and validation of your algorithms. Our ML team is dedicated to generating intricate and diverse 3D environments, including lifelike representations of humans and varying environmental conditions. Your contributions will be instrumental in shaping the future of automated driving technology.

Join Zoox's innovative Perception Object Detection and Tracking team, where we focus on the sophisticated perception of dynamic objects and individuals. In this pivotal role, you will collaborate directly with machine learning model teams to integrate state-of-the-art models into our vehicle technology stack.You will have unparalleled access to premier sensor data and a robust infrastructure designed for rigorous testing and validation of your algorithms. We are pioneering new algorithms for segmentation, tracking, classification, and high-level scene comprehension, and you will have the opportunity to contribute to any (or all!) of these critical components.