Part-Time Student Worker – Performance Optimization & Agentic Systems

About Zoox Zoox develops fully autonomous electric vehicles designed for a driverless future. The company focuses on improving transportation safety, sustainability, and accessibility. Collaboration and forward thinking drive the team’s work as they aim to set new standards in the industry. Part-Time Student Worker Program This program offers hands-on experience with advanced technology and support from experienced professionals. Student workers contribute to real projects while learning directly from experts. Zoox seeks applicants who have strong academic records, stay involved outside the classroom, and show curiosity and enthusiasm for the company’s mission. Project Overview: Performance Optimization & Agentic Systems The platform architecture team is seeking a detail-oriented, analytical student worker. The main focus is to design and run performance optimization experiments for software processes running on high-performance CPU and GPU systems, especially those using NVIDIA hardware. Location Foster City, CA

Join Zoox as a Part-time Student Worker in the exciting field of Autonomous Driving and Geofence Expansion. This role offers a unique opportunity to contribute to groundbreaking technology while gaining invaluable experience in a fast-paced environment.

About Zoox Zoox designs and builds fully autonomous electric vehicles, aiming for a safer, more sustainable, and accessible future in transportation. The team values innovation, collaboration, and a forward-looking approach to mobility. Part-Time Student Worker Program This program gives students a chance to gain practical experience with advanced technology, work alongside experienced professionals, and contribute to real projects. Zoox seeks students who show strong academic results, participate in activities outside the classroom, and demonstrate curiosity and commitment to the company’s mission. Role Overview: Robot Platform Validation Part-time student workers in this role focus on validating robot platforms, including hardware, firmware, and software. The work involves hands-on tasks with both current and future robot systems. Location Foster City, CA

About the Role Zoox is looking for a part-time student worker to join the Firmware Engineering team, focusing on Thermal and Body systems. This position is based in Foster City, CA. What You Will Do Work alongside experienced engineers to develop and improve firmware for autonomous vehicle systems Contribute to projects that support thermal management and body control functions Gain practical experience with real-world engineering challenges Who Should Apply Current students interested in firmware engineering Those eager to learn from a skilled team and apply classroom knowledge

Join Zoox as a Part-Time Student Worker focusing on Applied AI and LLM Workflows. This role provides an exceptional opportunity for students to engage with cutting-edge technologies in a dynamic work environment. You'll collaborate with a talented team to contribute to innovative projects that advance our understanding and application of artificial intelligence.

Conviva is at the forefront of providing intelligence solutions for digital businesses, transforming consumer interactions into outcome-driven insights. Our innovative platform links engagement patterns across AI agents, applications, websites, and streaming video to tangible results, including purchases, bookings, and resolved support requests. By leveraging our patented Time-State Technology®, the Conviva® Operational Data Platform empowers enterprises with real-time insights and automation that fuel growth, enhance customer satisfaction, and foster enduring trust. Are you an enthusiastic and quick learner eager to join a dynamic AI and engineering team revolutionizing analytics in the digital and agentic experience landscape? We are looking for a Product Manager to spearhead the development of our Agent Experience Analytics product, which is a vital component of our Digital Intelligence Platform focused on optimizing applications, websites, and AI agents. AI agents are rapidly emerging as a key digital interface alongside mobile and web platforms. However, organizations often grapple with fundamental questions: Are my agents effective in achieving desired outcomes? What factors contribute to their success? How can we enhance their behavior, reliability, and user satisfaction? How do we ensure that an agent can continuously adapt to the evolving landscape? Conviva offers industry-leading solutions to these challenges. This position presents a unique opportunity to define and dominate a new category: analytics and optimization for AI agent experiences, supported by strong platform foundations, real customer challenges, and a history of groundbreaking innovation. In this role, you will collaborate closely with engineering, design, and go-to-market teams to translate ambiguous and rapidly evolving market signals into reliable products. You will be responsible for quick releases, continuous learning, and setting the strategic direction for the future of agent analytics.

At Zoox, we are redefining the future of transportation by creating autonomous robotaxis that prioritize safety, reliability, sustainability, and user enjoyment. As we advance towards the public deployment of our robotaxis, now is an exciting time to join our team and contribute significantly to this groundbreaking mission. The ML Platform team at Zoox is pivotal in driving advancements in machine learning (ML) and computer vision (CV), ensuring a seamless autonomous driving experience for all.Your Role:Are you passionate about spearheading ML Performance Optimization efforts? In this role, you will enhance our Training and Inference platforms, maximizing the speed and efficiency of our autonomous driving capabilities. Collaborating across various ML teams, including Perception, Prediction, Planning, Simulation, Collision Avoidance, and Advanced Hardware Engineering, you will play a vital role in pushing the boundaries of ML practices at Zoox.You will oversee the development and operation of foundational ML tools, deep learning frameworks, and inference systems that support our applied research teams in both on-vehicle and off-vehicle ML applications. Leading a team of talented software engineers, you will amplify our internal customers' capabilities. As our robotaxi deployments expand and we explore new ML domains, this position offers tremendous growth opportunities. For more insights into our technology stack behind autonomous driving, please visit here.

About Zoox Zoox develops autonomous driving technology, integrating advanced hardware and software to deliver a seamless self-driving experience. The company focuses on efficiency, requiring precise calibration of compute hardware and highly optimized algorithms to achieve strong performance while keeping power use low. Team Overview The Software Performance Team ensures the Processing Control Unit (PCU) operates reliably and efficiently. This group is responsible for maintaining the performance of on-board autonomy software, meeting strict latency requirements, and upholding critical safety standards. Role Overview: Engineering Manager, Compute Optimization The Engineering Manager for Compute Optimization leads a team of software performance engineers within the Software Core Performance group. This team works to significantly improve the runtime of on-board software. The role sits at a key intersection of Machine Learning Platform, Core Software, and Autonomy Software, supporting Zoox’s focus on efficient compute use across the organization.

Job Overview:As a Brake Performance Engineer at Vertex Sigma Software, you will play a pivotal role in enhancing vehicle braking systems. Your expertise will drive the development of brake performance metrics and ensure optimal comfort and functionality in braking operations.Key Responsibilities:Enhance brake performance and comfort by applying advanced engineering principles.Conduct tests to evaluate the synergy between brake and drivetrain actuators.Establish and monitor performance metrics for vehicle-level efficiency.Communicate system requirements to relevant teams and component designers.Innovate and refine testing methodologies for improved accuracy and efficiency.Support simulation development to forecast vehicle performance under various conditions.Implement cutting-edge technical concepts to achieve peak brake performance.Lead vehicle validation initiatives.Oversee data analysis and troubleshoot performance issues.Utilize dashboards to monitor fleet performance metrics.Manage and report on FMVSS-related testing protocols.

Join Zoox, a pioneering force in autonomous mobility, as we embark on an innovative journey to create a comprehensive robotaxi solution designed for urban environments. We are looking for a dedicated System Safety Engineer to conduct thorough safety analyses of intricate electronic and software systems, particularly focusing on high-performance computing. As a vital member of Zoox's System Design and Mission Assurance (SDMA) team, you will play a crucial role in identifying enhancements to our safety concepts, implementing mechanisms to detect and mitigate hardware failures, and conducting residual risk assessments. Your efforts will be instrumental in ensuring the safe deployment of cutting-edge autonomous driving technology.

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 Zoox as a Senior Software Engineer, where you will play a pivotal role in enhancing cost optimization and driving efficiency within our cutting-edge High-Performance Computing (HPC) infrastructure. As we advance our autonomous vehicle initiatives, effective resource management and cost efficiency are paramount to our success. You will spearhead the modernization of our HPC platform, leveraging state-of-the-art technologies such as Ray.io, SLURM, and Kubernetes. Your primary focus will be to maximize resource utilization, minimize waste, and lower cloud expenditures while ensuring rapid developer productivity.Our HPC services are integral to the development workflows across all Zoox software teams, encompassing data engineering, AI model training in Perception, Planner, Prediction, Simulation, and beyond. Your contributions will directly influence Zoox's financial performance through tangible cost savings and enhanced operational efficiency.This role offers significant autonomy, allowing you to shape Zoox's computing economics strategy both on a technical and organizational level. Collaborating closely with stakeholders from Autonomy and Software teams, you will balance performance goals with budgetary constraints, applying FinOps best practices and the latest cost optimization methodologies.

Role overview As a Senior Software Engineer specializing in performance at Zoox, the focus is on enhancing the efficiency and reliability of software systems that power advanced robotics. This position involves working on challenging technical problems where software performance directly impacts the overall capabilities of robotics platforms. What you will do Collaborate with cross-functional teams to design, build, and improve high-performance software components. Analyze large-scale systems to uncover and resolve performance bottlenecks. Support the delivery of software that meets the demanding requirements of robotics technology at Zoox. Location This role is based in Foster City, CA.

Replit is at the forefront of software innovation, empowering individuals to create applications effortlessly through natural language. With a vibrant community of millions globally, including over 500,000 business users, we are breaking down barriers in software development and democratizing the creation process.About the RoleWe are seeking a highly skilled and experienced Senior Technical Program Manager (TPM) to lead the execution of Replit's most critical and intricate initiatives, particularly focusing on our dynamic Agent development roadmaps. This individual contributor role is ideal for someone with a strong engineering background, such as a former engineering manager or senior engineer, who excels in AI/LLM-heavy environments. The successful candidate will bring structure, drive, and decisive action to navigate cross-team uncertainties effectively. Leveraging AI and automation to enhance productivity is essential, but a clear understanding of priorities, trade-offs, and execution is paramount.Your ResponsibilitiesOversee the comprehensive delivery of Replit's most challenging cross-functional projects, with a primary focus on Agent development.Facilitate collaboration across Product, Engineering, Research, Go-To-Market, and Leadership teams by identifying dependencies, risks, and conflicts early in the process.Act as the technical liaison between teams, adeptly following architectural decisions, challenging assumptions, and translating trade-offs without impeding progress.Establish and maintain operational rhythms for programs, including milestones, reviews, decision logs, and retrospectives.Utilize AI, automation, and agent workflows to enhance program management efficiency (status synthesis, risk identification, incident follow-ups, guardrails, retrospectives).Manage additional high-stakes programs as required, such as enterprise initiatives and external integrations.Collaborate closely with Engineering Managers and Product Managers to ensure clarity in ownership and accountability without overlap.Required Skills and Experience8+ years of experience as a Technical Program Manager or in a related field, with a proven ability to lead complex, high-impact projects.Strong technical expertise in areas such as distributed architecture, infrastructure, platform engineering, or AI/ML.Exceptional communication skills with a straightforward style and strong decision-making capabilities.Ability to thrive in ambiguous situations and independently drive progress—this is a high-impact individual contributor role.Preferred QualificationsExperience in software development life cycles and methodologies.Familiarity with Agile project management principles.Passion for AI technologies and their applications in software development.

Join Zoox, a pioneering force in creating a fully autonomous mobility solution for urban environments. The System Design and Mission Assurance (SDMA) team is crucial to our mission, focusing on safety protocols and operational designs for our cutting-edge autonomous robotaxis before they take to the streets. We are seeking a dedicated part-time Full Stack Software Engineer to contribute approximately 20 hours per week over a 6-month contract. This is a unique opportunity for local students to gain practical experience in developing the tools and automation that underpin Zoox's safety metrics. Under the guidance of experienced engineers, you will work closely with project managers and engineers to design, develop, and refine applications integral to our safety evaluation processes.

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 the Future of Product Management!In this Principal Product Builder role at Conviva, you'll dive into the transformative world of AI-driven software development. As the landscape of product management evolves, we seek a visionary leader who not only plans but actively builds innovative solutions. This is not just a job; it's an opportunity to revolutionize how digital businesses leverage analytics and optimization.About ConvivaConviva is at the forefront of digital intelligence, turning every consumer interaction into actionable insights. Our proprietary Time-State Technology® empowers businesses to connect user engagement patterns across various platforms—AI agents, apps, websites, and streaming services—leading to tangible outcomes like increased purchases and improved customer satisfaction. Join us in shaping the future of digital experiences!The OpportunityAs AI agents become a critical part of user engagement, organizations face challenges in measuring their effectiveness. You'll play a crucial role in addressing questions like: Are our AI agents achieving desired outcomes? What strategies drive success? How can we continually optimize their behavior and reliability? This position allows you to pioneer a new frontier in analytics and optimization for AI agents.

Role Overview Zoox is looking for a Senior Software Engineer focused on C++ GPU performance. This position centers on improving and tuning software that supports advanced transportation systems. The work involves close collaboration with other engineers to push the limits of system performance.

Join Zoox as a Senior/Staff Technical Product Manager specializing in Autonomy Performance & Data. In this pivotal role, you will drive the development of cutting-edge technologies that enhance autonomous vehicle performance. You will collaborate with cross-functional teams, including engineering, data science, and design, to deliver innovative product solutions that align with our mission to redefine urban mobility.

Join Zoox on our groundbreaking mission to redefine urban mobility with a fully autonomous robotaxi solution. The System Design and Mission Assurance (SDMA) team is at the heart of our innovative endeavors, tasked with developing a robust safety case and fail-operational designs for our autonomous driving systems prior to their deployment on public roads.As a Senior/Staff Systems Engineer at Zoox, you will collaborate with diverse teams spanning product development, feature design, operations, vehicle engineering, software, autonomy, and legal frameworks. Your role will focus on creating, developing, and implementing systems that ensure safe autonomous driving experiences. You’ll be accountable for steering these systems through a comprehensive safety engineering process, ensuring end-to-end traceability aligns with both system safety objectives and product requirements.