Qureos Mentor

Zoox

<div><div><p><b>About Zoox</b><br>
Zoox is transforming mobility with fully autonomous, electric vehicles designed from the ground up for a driverless future. Our mission is to make transportation safer, more sustainable, and accessible to everyone. At Zoox, innovation, collaboration, and a bold vision for the future drive everything we do.</p>
<p><b>
About Our Internship Program</b><br>
Zoox&rsquo;s internship program offers hands-on experience with cutting-edge technology, mentorship from some of the industry&rsquo;s brightest minds, and the opportunity to make meaningful contributions to real projects. We seek interns who demonstrate strong academic performance, engagement beyond the classroom, intellectual curiosity, and a genuine interest in Zoox&rsquo;s mission.</p>
<p><b>
Project Overview</b><br>
This internship opportunity is within the Perception Data team, which focuses on tooling and pipelines around autonomous vehicle perception data - specifically the systems that discover, curate, and deliver high-quality training data at scale.</p>
<p>
Interns on this team will have the chance to work on Zoox's configurable data mining framework that powers large-scale extraction of labeled and unlabeled data from autonomous vehicle logs. This includes building new mining strategies (run loading, sample selection, and storage stages), integrating ML-driven data curation (e.g., embedding-based search, vision-language model filtering), scaling pipelines across distributed compute, and improving the developer experience around mining configuration and observability. Interns will gain valuable experience and insight into how targeted, high-quality training data is mined from petabyte-scale autonomous driving logs to improve the perception models that enable safe self-driving.</p>
</div>
<h3 class="jobSectionHeader"><b>Qualifications:</b></h3><ul>
<li>Proficiency in Python, including experience with data-oriented libraries such as pandas, NumPy, or PyArrow</li>
<li>Experience with at least one web framework (e.g., FastAPI, Flask, Django) or frontend framework (e.g., Vue, React, Angular) with TypeScript</li>
<li>Understanding of fundamental computer vision concepts (e.g., object detection, image classification, 2D/3D bounding boxes, point clouds)</li>
<li>Experience with SQL or large-scale data processing tools (e.g., Databricks, PySpark, or similar)</li>
<li>Experience working with version control (Git) and code review workflows</li>
<li>Strong problem-solving skills and ability to work independently on open-ended engineering problems</li>
</ul><h3 class="jobSectionHeader"><b>Bonus Qualifications:</b></h3><ul>
<li>Experience with ML frameworks such as PyTorch or TensorFlow, particularly for vision tasks</li>
<li>Familiarity with embedding models (e.g., CLIP/OpenCLIP) or vision-language models (VLMs) for data curation or retrieval</li>
<li>Experience with distributed computing or pipeline orchestration frameworks (e.g., Spark/PySpark, Airflow, or similar)</li>
<li>Exposure to cloud infrastructure (AWS S3, Databricks)</li>
<li>Familiarity with protobuf for structured data serialization</li>
<li>Prior work on data mining, active learning, or dataset curation for ML training</li>
<li>Experience with LiDAR/camera sensor data in autonomous driving or robotics contexts</li>
</ul><h3 class="jobSectionHeader"><b>Requirements:</b></h3><ul>
<li>Currently working towards a B.S, or M.S degree in a relevant engineering program</li>
<li>Good academic standing</li>
<li>Able to commit to a 12-week internship during one of the following summer 2026 cohorts: May 18th - August 7th, OR May 26th - August 14th, OR June 15th - September 4th</li>
<li>At least one previous industry internship, co-op, or project completed in a relevant area</li>
<li>Ability to relocate to the Bay Area, California for the duration of the internship</li>
<li>Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox</li>
</ul><div><div><b>Compensation:</b></div>
<div>The monthly salary for this position is $9,500. Compensation will vary based on geographic location. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility).</div></div><div><br>
</div><div><b>
About Zoox</b></div><div>
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We&rsquo;re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div></div><div><br>
Follow us on LinkedIn</div><div></div><div><b><br>
Accommodations</b></div><div>
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div></div><div><b><i><br>
A Final Note:</i></b></div><div><i>
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</i></div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Software Engineer Intern, Perception Data

<div><div>As a Software Development Engineer in Test on the Product Software Quality Assurance team, your role will focus on building scalable integration automation frameworks and enhancing existing frameworks for automated testing of mobile applications. You will design and implement functional and integration automation tests for mobile app used by the customer fleet, ensuring comprehensive test coverage and reducing manual testing efforts. By prioritizing automation for repetitive tasks, developing robust regression suites, and focusing on edge cases and high-stress scenarios, you will ensure the reliability of safety-critical tools.</div>
<h3 class="jobSectionHeader"><b>In this role, you will:
</b></h3><ul><li>Design, implement, and maintain scalable functional and test frameworks used across Zoox for integration and subsystem testing</li>
<li>Collaborate closely with QA, SDETs, and software engineers on cross-team initiatives to maintain and continuously improve Zoox&rsquo;s end-to-end validation workflows</li>
<li>Lead feature-level testing by defining test strategy and plans, executing manual testing, and driving the transition to robust automation within Zoox&rsquo;s integrated tooling ecosystem</li>
<li>Support and partner with users of our frameworks and tools, continuously refining them to improve reliability, usability, and overall engineering efficiency</li>
<li>Implement AI tools to make testing faster and more efficient.</li>
</ul><h3 class="jobSectionHeader"><b>Qualifications:
</b></h3><ul><li>Bachelor's or Master's degree in computer science, engineering, mathematics, or a related field</li>
<li>4+ years of experience as a Software Development Engineer in Test with proven skills in writing automation frameworks for cloud applications from scratch.</li>
<li>Strong proficiency with Python, Kotlin, and tools like Git, Buildkite</li>
<li>Experience building functional and performance automated tests for backend cloud applications.</li>
<li>A self-starter who is capable of defining and implementing new tools and processes from start to finish</li>
</ul><h3 class="jobSectionHeader"><b>Bonus Qualifications:
</b></h3><ul><li>Experience in Mobile App testing and automation</li>
<li>Experience in implementing AI tools in the testing domain</li>
</ul><div><b>Base Salary Range</b></div>
<div></div>
<div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.</div>
<div></div>
<div>Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Software Development Engineer in Test, Product Software - Mobile App

<div><div>The Perception team is pioneering the development of a multi-modality foundation model to drive the next generation of autonomous system intelligence.</div>
<div><br>
As a Model Optimization &amp; Deployment Engineer, you will focus on bringing highly efficient, production-ready large-scale models to our on-vehicle stack. We are looking for experts with hands-on experience in compressing, accelerating, and deploying complex models (LLMs, VLMs, or FMs) for power- and thermal-constrained vehicle SOCs. You will optimize the ML models, write custom CUDA kernels, and build highly concurrent inference code to ensure real-time, deterministic execution on edge devices.</div>
<h3 class="jobSectionHeader"><b>In this role, you will:
</b></h3><ul><li>Optimize large-scale models (LLMs, VLMs) using advanced quantization (PTQ, QAT), mixed-precision inference workflows, and parameter-efficient fine-tuning (LoRA, QLoRA).</li>
<li>
<p>Architect and implement model conversion and compilation pipelines using TensorRT and TensorRT-LLM for edge deployment.</p>
</li>
<li><p>Perform rigorous parity checking, accuracy recovery, and latency benchmarking between PyTorch frameworks and compiled edge binaries.</p>
</li>
Write and optimize custom CUDA kernels and TensorRT Plugins to maximize memory bandwidth and minimize latency on AI accelerators.<br>
<li>
</li>
Write production-level, highly concurrent, and memory-safe C++ and Python code for real-time inference on vehicle SOCs.<br>
<li>
</li>
</ul><h3 class="jobSectionHeader"><b>Qualifications:
</b></h3><div>Deep expertise in model quantization (PTQ, QAT) and mixed-precision inference workflows (INT8, FP8, INT4, BF16/FP16).<br>
<ul><li>
</li>
Proven experience optimizing large-scale models (LLMs, VLMs, or VLAs) utilizing KV-cache optimization (e.g., PagedAttention), Speculative Decoding, and Efficient Attention mechanisms (FlashAttention, Linear Attention).<br>
<li>
</li>
Extensive experience with model conversion/compilation pipelines (TensorRT, TensorRT-LLM) and performing rigorous parity/latency benchmarking.<br>
<li>
</li>
Proficiency in low-level programming for AI accelerators, specifically writing and optimizing custom CUDA kernels and TensorRT Plugins.<br>
<li>
</li>
<li>Production-level C++ (14/17/20) and Python programming skills, with experience writing concurrent, memory-safe, real-time inference code for edge devices.</li>
</ul></div><h3 class="jobSectionHeader"><b>Bonus Qualifications:</b></h3><div>
Experience with distributed training pipelines and model/tensor parallelism (PyTorch Distributed, Ray, DeepSpeed, Megatron-LM) and runtime efficiency optimization for GPU clusters.<br>
<ul><li>
</li>
Familiarity with autonomous driving perception stacks (temporal 3D object detection, BEV, 3D Occupancy Networks) and processing multi-modal sensor streams (Vision, LiDAR, Radar).<br>
<li>
</li>
<li>Understanding of end-to-end autonomous driving paradigms (VLA models, closed-loop simulation validation).</li>
</ul></div><div><div><b>Base Salary Range</b></div>
<div></div>
<div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.</div>
<div></div>
<div>Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div>
</div><div><b>About Zoox</b></div><div>
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We&rsquo;re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div></div><div><br>
Follow us on LinkedIn</div><div></div><div><b><br>
Accommodations</b></div><div>
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div></div><div><b><i><br>
A Final Note:</i></b></div><div><i>
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</i></div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Senior AI Inference Engineer - Model Optimization & Deployment

<div>
 The Data team leverages data from our autonomous vehicles and operations to determine autonomy and service readiness. We provide the foundation for strategic decision-making at Zoox. You will develop and implement the next generation of our data pipeline to ensure visibility into our business as we scale toward the launch of an autonomous mobility service. You will define the system and build the pipeline to enable Zoox to develop and scale with a data-first culture.
 <br/>
 <br/>
 You will join a diverse, experienced team with rapidly growing scope and responsibility while also having access to one of the most unique data sets in the autonomous vehicle industry. Hence, we are seeking all skill levels to grow with the team.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and maintain the infrastructure that transforms autonomous vehicle data at scale to support analytics throughout the company
  </li>
  <li>
   Define and execute on how data from perception, prediction, planning and other parts of the autonomous stack is consumed to generate valuable insights by data scientists, engineers, and business users
  </li>
  <li>
   Establish robust data integrity monitoring so that company-wide metrics are based on accurate data
  </li>
  <li>
   Partner with engineering and product teams to define data consumption patterns and establish best practices
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   BS/MS degree in a technical field
  </li>
  <li>
   Experience designing and building complex data modeling at scale
  </li>
  <li>
   Advanced Structure Query Language (SQL) and data warehousing experience
  </li>
  <li>
   Experience operating a workflow manager such as Airflow
  </li>
  <li>
   Experience with large scale streaming platforms (e.g. Kafka, Kinesis), processing frameworks (e.g. Spark, Hadoop) and storage engines (e.g. HDFS, HBase)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exceptional Python or Scala skills
  </li>
  <li>
   Basic fluency in C++
  </li>
  <li>
   Familiarity with or exposure to experimentation platforms
  </li>
  <li>
   A strong DataOps mindset and opinions on next-generation warehousing tools
   <br/>
   <br/>
  </li>
 </ul>
 $180,000 - $230,000 a year
 <br/>
 <br/>
 <strong>
  Base Salary Range
  <br/>
  <br/>
 </strong>
 There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
 <br/>
 <br/>
 Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
 <br/>
 <br/>
 <strong>
  About Zoox
  <br/>
  <br/>
 </strong>
 Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We&rsquo;re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
 <br/>
 <br/>
 Follow us on LinkedIn
 <br/>
 <br/>
 <strong>
  Accommodations
  <br/>
  <br/>
 </strong>
 If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.
 <br/>
 <br/>
 <strong>
  A Final Note
  <br/>
  <br/>
 </strong>
 <em>
  You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
  <br/>
  <br/>
 </em>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>


Data Engineer

<div><div><b>About the Role</b></div><div></div><div><br>
At Zoox, we are pushing the boundaries of autonomous mobility. Within our Autonomy Software organization, we are pioneering a Multi-Modal Large Language Model (M-LLM) designed to fundamentally understand driving. Simultaneously, our dedicated AI productivity team is focused on leveraging advanced AI to enhance engineering and enterprise efficiency.</div><div></div><div><br>
We are looking for a highly motivated <b>Part-Time Student Worker</b> to operate at the exciting intersection of these two initiatives. Working directly with the Vice President of Autonomy Software, you will explore, prototype, and strategize ways to integrate our cutting-edge M-LLM technologies into the daily workflows of our autonomy organization. If you are passionate about applied AI, productivity, and the future of autonomous driving, this is an incredible opportunity to make a tangible impact at the executive level.</div>
<h3 class="jobSectionHeader"><b>In this role, you will:
</b></h3><ul><li><b>Executive Collaboration:</b> Work directly with the VP of Autonomy Software to brainstorm, define, and evaluate opportunities where M-LLMs can streamline and supercharge organizational workflows.</li><li><b>
Cross-Functional Bridging:</b> Act as the strategic and technical bridge between the core M-LLM Autonomy development team and the broader AI Productivity team, ensuring alignment and sharing best practices.</li><li><b>
Prototyping &amp; Integration:</b> Build lightweight prototypes, scripts, or internal tools that leverage multi-modal AI to solve real-world engineering, data analysis, or administrative bottlenecks.</li><li><b>
Exploratory Research:</b> Stay up-to-date on the latest advancements in LLMs, M-LLMs, and agentic workflows to propose new use cases for the autonomy software division.</li></ul><h3 class="jobSectionHeader"><b>
What you bring:
</b></h3><ul><li><b>Education:</b> Currently pursuing a Bachelor&rsquo;s, Master&rsquo;s, or Ph.D. in Computer Science, Artificial Intelligence, Software Engineering, or a closely related field.</li><li><b>
AI/LLM Knowledge:</b> A strong conceptual and practical understanding of Large Language Models, prompt engineering, and multi-modal AI architectures.</li><li><b>
Technical Chops:</b> Proficiency in Python, with experience using AI/ML frameworks, APIs, or building lightweight internal applications.</li><li><b>
Communication Skills:</b> Excellent verbal and written communication skills, with the ability to translate complex technical concepts into actionable workflows for executive leadership and distinct engineering teams.</li><li><b>
Mindset:</b> Highly proactive, scrappy, and entrepreneurial. You enjoy finding inefficiencies and building clever, AI-driven solutions to fix them.</li></ul><div>
$30 per hour.</div><div></div><div><br>
This is a contract position and employment for this position will be through a vendor contracted with Zoox. The hourly pay range is posted and you will be eligible for a benefits package as offered by the vendor.</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Part-Time Student Worker – Applied AI & LLM Workflows