Pony.ai jobs - 25 jobs

Job Description Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai's leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world's top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in Nov. 2024. Responsibility The ML Infrastructure team at Pony.ai provides a set of tools to support and automate the lifecycle of the AI workflow, including model development, evaluation, optimization, deployment and monitoring. As a Machine Learning Engineer Intern in ML Runtime & Optimization, you will be developing technologies to advance the training and inferences of the AI models in autonomous driving systems. This includes: Performing in-depth analysis and optimization to model training and deployment to achieve the state of art in performance and efficiency in autonomous driving. Work across the entire AI framework/compiler stack (e.g. Torch, CUDA and TensorRT), support model development and prototype key deep learning algorithms. Analyze the tradeoffs between performance, cost and energy for autonomous driving. Collaborating closely with diverse groups in Pony.ai to influence the next-generation compute platform HW and SW design. Research the latest model architectures, programming models and hardware. Requirements Currently pursuing a Masters or PhD program or a related discipline. Strong programming skills in C/C++ or Python. Solid understanding of CPU or GPU execution model, e.g. threads, registers, cache, memory, cost and performance trade-off, etc. Experience in benchmarking, profiling and validating performance. Strong communication skills and ability to work cross-functionally between software and hardware teams Preferred Qualifications: One or more of the following fields are preferred Experience with parallel programming: CUDA, ROCm, Triton, Cutlass, etc. Experience in computer vision, image processing, machine learning and deep learning. Experience in model optimization techniques such as quantization, pruning, etc. Experience in optimizing the utilization of compute resources, identifying and resolving compute and data flow bottlenecks. Strong knowledge of software design, programming techniques and algorithms. Strong knowledge of common deep learning frameworks and libraries. Strong knowledge on system performance, GPU optimization or ML compiler. Note This position is fully onsite in Fremont, at least 3 months. Compensation Master: $7000/month PhD: $10,000/month

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai's leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world's top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in Nov. 2024. Responsibility The ML Infrastructure team at Pony.ai provides a set of tools to support and automate the lifecycle of the AI workflow, including model development, evaluation, optimization, deployment, and monitoring. As a Machine Learning Engineer in ML Runtime & Optimization, you will be developing technologies to accelerate the training and inferences of the AI models in autonomous driving systems. This includes: Identifying key applications for current and future autonomous driving problems and performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation compute architectures. Collaborating closely with diverse groups in Pony.ai including both hardware and software to optimize and craft core parallel algorithms as well as to influence the next-generation compute platform architecture design and software infrastructure. Apply model optimization and efficient deep learning techniques to models and optimized ML operator libraries. Work across the entire ML framework/compiler stack (e.g.Torch, CUDA and TensorRT), and system-efficient deep learning models. Requirements BS/MS or Ph.D in computer science, electrical engineering or a related discipline. Strong programming skills in C/C++ or Python. Experience on model optimization, quantization or other efficient deep learning techniques Good understanding of hardware performance, regarding CPU or GPU execution model, threads, registers, cache, cost/performance trade-off, etc. Experience with profiling, benchmarking and validating performance for complex computing architectures. Experience in optimizing the utilization of compute resources, identifying and resolving compute and data flow bottlenecks. Strong communication skills and ability to work cross-functionally between software and hardware teams Preferred Qualifications: One or more of the following fields are preferred Experience with parallel programming, ideally CUDA, OpenCL or OpenACC. Experience in computer vision, machine learning and deep learning. Strong knowledge of software design, programming techniques and algorithms. Good knowledge of common deep learning frameworks and libraries. Deep knowledge on system performance, GPU optimization or ML compiler. Compensation and Benefits Base Salary Range: $140,000 - $250,000 Annually Compensation may vary outside of this range depending on many factors, including the candidate's qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units. Also, we provide the following benefits to the eligible employees: Health Care Plan (Medical, Dental & Vision) Retirement Plan (Traditional and Roth 401k) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Free Food & Snacks

Job Description Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai's leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world's top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 15 million miles of autonomous driving globally. Responsibility Work with experts in the field of self-driving vehicles on software architecture and design, system and module design, evaluation metrics, specification and implementation of test and regression frameworks. Design and develop large-scale foundation models trained on vast of real world data Frame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, reinforcement learning, imitation learning, etc) to these problems; scale them to data pipelines; and streamline them to run in real-time on the cars. Develop and deploy deep learning models, including vision language models (VLMs) and Large Language Models (LLMs) Optimize deep learning models to run robustly under tight run-time constraints. Requirements Master in Computer Science, or at least 2 years of equivalent industry experience in similar technical fields. Solid understanding of data structures, algorithms, parallel computing, code optimization and large scale data processing. Experience in applied machine learning including data collection and analysis, evaluation and feature engineering. Expertise in C++/Python. Strong communication skills and team spirit. Preferred Experience PhD in Deep Learning, Machine Learning, Robotics, Natural Language Processing, or similar technical field of study. Publications on top-tier conferences like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/ICLR/AAAI/IJCV/PAMI Experience in applying ML/DL for behavior prediction, imitation learning, motion planning. Experience in deploying deep learning algorithms for real time applications, with limited computing resources. Experience in convex optimization, computational geometry or linear algebra. Experience in GPU/CUDA/TensorRT Compensation and Benefits Base Salary Range: $140,000 - $250,000 Annually Compensation may vary outside of this range depending on many factors, including the candidate's qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units. Also, we provide the following benefits to the eligible employees: Health Care Plan (Medical, Dental & Vision) Retirement Plan (Traditional and Roth 401k) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Free Food & Snacks

Job Description Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai's leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world's top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally and is listed publicly at NASDAQ. Responsibility As an ADAS Safety Engineer you will work on the safety of our autonomous driving features and ADAS features. A major contribution will be the elicitation of functional safety requirements and the development of verification and validation methods for Functional Safety and SOTIF. This includes the analysis of triggering events like misuse scenarios, changing environment conditions and other potential hazards associated with our ADAS features. In this role, you will use your technical skills and work cross functionally to develop engineering solutions based on existing automotive industry standards (Ie. ISO 26262, ISO 21448, UL 4600, IEEE 2846, etc.) that help define development processes, requirements, and verification of safety and performance. Define creative technical solutions to improve performance and safety of ADAS features Develop work products in accordance with our internal safety process based on existing industry standards Perform hazard analysis and risk assessment based on a functional system specification and identify risk acceptance criteria Identify potential functional insufficiencies and triggering events by utilizing analysis techniques such as HAZOP, FTA, FMEA, STPA, and misuse analysis Collaborate cross functionally to ensure that our ADAS feature safety concepts and requirements are aligned with the overall system design strategy. Derive verification and validation test cases to demonstrate the safety of ADAS features Provide feedback and improve the internal development processes Requirements Bachelor's Degree in Systems Engineering, Automotive Engineering, Electrical Engineering or Computer Science with 3+ years of relevant experience Strong ADAS system engineering background Working knowledge of relevant standards and methods such as ISO 26262 and ISO 21448 Experience performing System Safety Engineering tasks for ADAS features such as various analysis techniques (HAZOP/HARA, FMEA, FTA, STPA, etc) Ability to drive technical solutions for SW and HW design in safety concepts Experienced in requirements writing based on industry best practices Good interpersonal and communication skills with a high level of integrity Experience working within a cross-functional team Preferred Experience General knowledge of machine learning and artificial intelligence is a plus Work experience applying System-Theoretic Process Analysis (STPA) is a plus Knowledge of system and vehicle simulation techniques used for ADAS features is a plus Compensation and Benefits Base Salary Range: $100,000 - $180,000 Annually Compensation may vary outside of this range depending on many factors, including the candidate's qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units. Also, we provide the following benefits to the eligible employees: Health Care Plan (Medical, Dental & Vision) Retirement Plan (Traditional and Roth 401k) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Free Food & Snacks Please click here for our privacy disclosure.

Job Description Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai's leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world's top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in November 2024. Responsibility Collaborate with IT, Infrastructure, HR, Admin and Technical teams to support staff onboarding and offboarding processes. Continuously monitor security events, threats, and vulnerabilities across systems and networks. Respond to security incidents, support incident investigations, and escalate issues when necessary. Perform threat identification, triage, and risk assessments to inform proactive mitigation strategies. Administration and configuration of tools to log and analyze security and privacy related data. Implement security policies in tools to automate security and privacy monitoring and analytics. Analyze security logs to identify anomalies, policy violations, or indicators of compromise. Identify security and privacy gaps, and propose improvements to strengthen the organization's overall security framework. Requirements Bachelor's degree in Computer Science, Information Security, or a related field. Minimum of 2 years of hands-on experience in Information Technology, cybersecurity, or working in a Security Operations Center (SOC) or Network Operations Center (NOC). Solid understanding of the threat landscape, attacker tactics (e.g., phishing, malware, APTs, DoS attacks), and defensive strategies. Proficiency in at least one scripting language (e.g., Python preferred). Skilled in security technologies such as SIEM, SOAR, EDR, ID/IPS, access control, vulnerability management, cloud security, and External Attack Surface Management (EASM). Experience with cloud security concepts, tools, and best practices across platforms like AWS, Azure, or GCP. Exceptional written, verbal, and interpersonal communication skills, with strong attention to detail. Proven ability to collaborate across teams and foster a customer-focused and security-aware culture. Compensation and Benefits Base Salary Range: $100,000 - $160,000 Annually Compensation may vary outside of this range depending on many factors, including the candidate's qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units. Also, we provide the following benefits to the eligible employees: Health Care Plan (Medical, Dental & Vision) Retirement Plan (Traditional and Roth 401k) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Free Food & Snacks Please click here for our privacy disclosure.

Job Description Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai's leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world's top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in November 2024. Responsibilities As a (Senior) Kubernetes Engineer, you will: Design, operate, and optimize Kubernetes clusters across hybrid cloud environments (public cloud and on-prem datacenter). Support diverse workloads including large-scale model training and low-latency inference services. Develop, maintain, and extend Kubernetes platform features (operators, CRDs, APIs) to automate and productize internal use cases. Own cluster lifecycle management including upgrades, patching, configuration, and governance. Define and enforce best practices for service deployments, security policies, and operational guidelines. Contribute to observability and SRE practices to ensure reliability at scale (SLOs, incident reviews, metrics-driven improvements). Collaborate with storage, compute, and networking teams (CNI, ingress, service discovery) to enhance automation, availability, and performance. Provide technical mentorship, documentation, and on-call support for cluster-related incidents. Requirements Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience. 3+ years of hands-on experience managing Kubernetes clusters in production (EKS/GKE/AKS and/or bare-metal). Strong Linux systems background and distributed systems fundamentals (scheduling, reliability, scaling). Proven experience with hybrid cloud environments (AWS, GCP, Azure, and on-prem). Expertise in containerization (Docker) and Infrastructure-as-Code tools (Terraform, Helm, Ansible, or similar). Experience developing and maintaining Kubernetes platform features (operators, CRDs, APIs). Solid knowledge of Kubernetes networking (CNI, ingress, service discovery), storage, and compute integrations. Strong understanding of security best practices (RBAC, network policies, secrets). Effective communication skills and ability to work cross-functionally in a fast-paced environment. Preferred Experience Programming skills in Go and/or Python for operator development, platform automation, and tooling. Experience with observability and SRE practices (Prometheus, Grafana, ELK, Datadog; SLOs, incident response, postmortems). Familiarity with workloads common to AI/ML systems (training, inference). Compensation and Benefits Base Salary Range: $120,000 - $240,000 Annually Compensation may vary outside of this range depending on many factors, including the candidate's qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units. Also, we provide the following benefits to the eligible employees: Health Care Plan (Medical, Dental & Vision) Retirement Plan (Traditional and Roth 401k) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Free Food & Snacks Please click here for our privacy disclosure.

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai's leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world's top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in Nov. 2024. Responsibility Work with experts in the field of self-driving vehicles on designing and developing large-scale foundation models trained on vast amounts of real world data. Frame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, reinforcement learning, imitation learning, etc) to these problems; scale them to data pipelines; and streamline them to run in real-time on the cars. Develop and deploy deep learning models, including vision language models (VLMs) and Large Language Models (LLMs) Design and implement multi-modality and multi-task models focusing on 3D object detection and tracking, segmentation, semantics understanding, video understanding, scene understanding, traffic control, or trajectory prediction, etc. Optimize deep learning models to run robustly under tight run-time constraints. Requirements Currently pursuing a Masters or PhD program in Computer Science, Machine Learning, Robotics, or similar field Strong background in deep learning, with experience in model design, training and evaluation. Experience with deep learning research and tools. Proficiency in software design and development using Python and C++. Experience working with large-scale datasets, data preprocessing, and pipeline management. Preferred Experience Publications on top-tier conferences like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/ICLR/AAAI Experience in applying ML/DL for behavior prediction, imitation learning, motion planning. Experience in deploying deep learning algorithms for real time applications, with limited computing resources. Experience in convex optimization, computational geometry or linear algebra. Experience in GPU/CUDA/TensorRT Previous internships involving large-scale deep learning models and systems Preferred graduate before Dec 2026 Note This position is fully onsite in Fremont, at least 3 months. Compensation Master: $7000/month PhD: $10,000/month Please click here for our privacy disclosure.

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai's leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural "XB100" 2023 list of the world's top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in Nov. 2024. Responsibility The ML Infrastructure team at Pony.ai provides a set of tools to support and automate the lifecycle of the AI workflow, including model development, evaluation, optimization, deployment and monitoring. As a Machine Learning Engineer Intern in ML Runtime & Optimization, you will be developing technologies to advance the training and inferences of the AI models in autonomous driving systems. This includes: * Performing in-depth analysis and optimization to model training and deployment to achieve the state of art in performance and efficiency in autonomous driving. * Work across the entire AI framework/compiler stack (e.g. Torch, CUDA and TensorRT), support model development and prototype key deep learning algorithms. * Analyze the tradeoffs between performance, cost and energy for autonomous driving. * Collaborating closely with diverse groups in Pony.ai to influence the next-generation compute platform HW and SW design. * Research the latest model architectures, programming models and hardware.

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai's leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world's top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in November 2024. Responsibility Collaborate with IT, Infrastructure, HR, Admin and Technical teams to support staff onboarding and offboarding processes. Continuously monitor security events, threats, and vulnerabilities across systems and networks. Respond to security incidents, support incident investigations, and escalate issues when necessary. Perform threat identification, triage, and risk assessments to inform proactive mitigation strategies. Administration and configuration of tools to log and analyze security and privacy related data. Implement security policies in tools to automate security and privacy monitoring and analytics. Analyze security logs to identify anomalies, policy violations, or indicators of compromise. Identify security and privacy gaps, and propose improvements to strengthen the organization's overall security framework. Requirements Bachelor's degree in Computer Science, Information Security, or a related field. Minimum of 2 years of hands-on experience in Information Technology, cybersecurity, or working in a Security Operations Center (SOC) or Network Operations Center (NOC). Solid understanding of the threat landscape, attacker tactics (e.g., phishing, malware, APTs, DoS attacks), and defensive strategies. Proficiency in at least one scripting language (e.g., Python preferred). Skilled in security technologies such as SIEM, SOAR, EDR, ID/IPS, access control, vulnerability management, cloud security, and External Attack Surface Management (EASM). Experience with cloud security concepts, tools, and best practices across platforms like AWS, Azure, or GCP. Exceptional written, verbal, and interpersonal communication skills, with strong attention to detail. Proven ability to collaborate across teams and foster a customer-focused and security-aware culture. Compensation and Benefits Base Salary Range: $100,000 - $160,000 Annually Compensation may vary outside of this range depending on many factors, including the candidate's qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units. Also, we provide the following benefits to the eligible employees: Health Care Plan (Medical, Dental & Vision) Retirement Plan (Traditional and Roth 401k) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Free Food & Snacks Please click here for our privacy disclosure.

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai's leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world's top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally and is listed publicly at NASDAQ. Responsibility As an ADAS Safety Engineer you will work on the safety of our autonomous driving features and ADAS features. A major contribution will be the elicitation of functional safety requirements and the development of verification and validation methods for Functional Safety and SOTIF. This includes the analysis of triggering events like misuse scenarios, changing environment conditions and other potential hazards associated with our ADAS features. In this role, you will use your technical skills and work cross functionally to develop engineering solutions based on existing automotive industry standards (Ie. ISO 26262, ISO 21448, UL 4600, IEEE 2846, etc.) that help define development processes, requirements, and verification of safety and performance. Define creative technical solutions to improve performance and safety of ADAS features Develop work products in accordance with our internal safety process based on existing industry standards Perform hazard analysis and risk assessment based on a functional system specification and identify risk acceptance criteria Identify potential functional insufficiencies and triggering events by utilizing analysis techniques such as HAZOP, FTA, FMEA, STPA, and misuse analysis Collaborate cross functionally to ensure that our ADAS feature safety concepts and requirements are aligned with the overall system design strategy. Derive verification and validation test cases to demonstrate the safety of ADAS features Provide feedback and improve the internal development processes Requirements Bachelor's Degree in Systems Engineering, Automotive Engineering, Electrical Engineering or Computer Science with 3+ years of relevant experience Strong ADAS system engineering background Working knowledge of relevant standards and methods such as ISO 26262 and ISO 21448 Experience performing System Safety Engineering tasks for ADAS features such as various analysis techniques (HAZOP/HARA, FMEA, FTA, STPA, etc) Ability to drive technical solutions for SW and HW design in safety concepts Experienced in requirements writing based on industry best practices Good interpersonal and communication skills with a high level of integrity Experience working within a cross-functional team Preferred Experience General knowledge of machine learning and artificial intelligence is a plus Work experience applying System-Theoretic Process Analysis (STPA) is a plus Knowledge of system and vehicle simulation techniques used for ADAS features is a plus Compensation and Benefits Base Salary Range: $100,000 - $180,000 Annually Compensation may vary outside of this range depending on many factors, including the candidate's qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units. Also, we provide the following benefits to the eligible employees: Health Care Plan (Medical, Dental & Vision) Retirement Plan (Traditional and Roth 401k) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Free Food & Snacks Please click here for our privacy disclosure.

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai's leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world's top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in Nov. 2024. Responsibility The ML Infrastructure team at Pony.ai provides a set of tools to support and automate the lifecycle of the AI workflow, including model development, evaluation, optimization, deployment and monitoring. As a Machine Learning Engineer Intern in ML Runtime & Optimization, you will be developing technologies to advance the training and inferences of the AI models in autonomous driving systems. This includes: Performing in-depth analysis and optimization to model training and deployment to achieve the state of art in performance and efficiency in autonomous driving. Work across the entire AI framework/compiler stack (e.g. Torch, CUDA and TensorRT), support model development and prototype key deep learning algorithms. Analyze the tradeoffs between performance, cost and energy for autonomous driving. Collaborating closely with diverse groups in Pony.ai to influence the next-generation compute platform HW and SW design. Research the latest model architectures, programming models and hardware. Requirements Currently pursuing a Masters or PhD program or a related discipline. Strong programming skills in C/C++ or Python. Solid understanding of CPU or GPU execution model, e.g. threads, registers, cache, memory, cost and performance trade-off, etc. Experience in benchmarking, profiling and validating performance. Strong communication skills and ability to work cross-functionally between software and hardware teams Preferred Qualifications: One or more of the following fields are preferred Experience with parallel programming: CUDA, ROCm, Triton, Cutlass, etc. Experience in computer vision, image processing, machine learning and deep learning. Experience in model optimization techniques such as quantization, pruning, etc. Experience in optimizing the utilization of compute resources, identifying and resolving compute and data flow bottlenecks. Strong knowledge of software design, programming techniques and algorithms. Strong knowledge of common deep learning frameworks and libraries. Strong knowledge on system performance, GPU optimization or ML compiler. Note This position is fully onsite in Fremont, at least 3 months. Compensation Master: $7000/month PhD: $10,000/month

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai's leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world's top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in November 2024. Responsibilities As a (Senior) Kubernetes Engineer, you will: Design, operate, and optimize Kubernetes clusters across hybrid cloud environments (public cloud and on-prem datacenter). Support diverse workloads including large-scale model training and low-latency inference services. Develop, maintain, and extend Kubernetes platform features (operators, CRDs, APIs) to automate and productize internal use cases. Own cluster lifecycle management including upgrades, patching, configuration, and governance. Define and enforce best practices for service deployments, security policies, and operational guidelines. Contribute to observability and SRE practices to ensure reliability at scale (SLOs, incident reviews, metrics-driven improvements). Collaborate with storage, compute, and networking teams (CNI, ingress, service discovery) to enhance automation, availability, and performance. Provide technical mentorship, documentation, and on-call support for cluster-related incidents. Requirements Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience. 3+ years of hands-on experience managing Kubernetes clusters in production (EKS/GKE/AKS and/or bare-metal). Strong Linux systems background and distributed systems fundamentals (scheduling, reliability, scaling). Proven experience with hybrid cloud environments (AWS, GCP, Azure, and on-prem). Expertise in containerization (Docker) and Infrastructure-as-Code tools (Terraform, Helm, Ansible, or similar). Experience developing and maintaining Kubernetes platform features (operators, CRDs, APIs). Solid knowledge of Kubernetes networking (CNI, ingress, service discovery), storage, and compute integrations. Strong understanding of security best practices (RBAC, network policies, secrets). Effective communication skills and ability to work cross-functionally in a fast-paced environment. Preferred Experience Programming skills in Go and/or Python for operator development, platform automation, and tooling. Experience with observability and SRE practices (Prometheus, Grafana, ELK, Datadog; SLOs, incident response, postmortems). Familiarity with workloads common to AI/ML systems (training, inference). Compensation and Benefits Base Salary Range: $120,000 - $240,000 Annually Compensation may vary outside of this range depending on many factors, including the candidate's qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units. Also, we provide the following benefits to the eligible employees: Health Care Plan (Medical, Dental & Vision) Retirement Plan (Traditional and Roth 401k) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Free Food & Snacks Please click here for our privacy disclosure.

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai's leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural "XB100" 2023 list of the world's top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in November 2024. Responsibility * Collaborate with IT, Infrastructure, HR, Admin and Technical teams to support staff onboarding and offboarding processes. * Continuously monitor security events, threats, and vulnerabilities across systems and networks. * Respond to security incidents, support incident investigations, and escalate issues when necessary. * Perform threat identification, triage, and risk assessments to inform proactive mitigation strategies. * Administration and configuration of tools to log and analyze security and privacy related data. * Implement security policies in tools to automate security and privacy monitoring and analytics. * Analyze security logs to identify anomalies, policy violations, or indicators of compromise. * Identify security and privacy gaps, and propose improvements to strengthen the organization's overall security framework.

Job Description Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai's leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world's top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in November 2024. Responsibility As a Software Engineer in Perception Infrastructure, you will be responsible for developing the foundation for the Perception System used on the self-driving vehicle. You will work with the world-class Perception developers and researchers together to improve the overall performance and quality of Perception. Requirements Strong programming skills in C++, with a solid foundation in data structures and algorithms. BS/MS or Ph.D in Computer Science or a related field Open to master new grads/fresh PhD Preferred Experience Multi-thread programming CPU or GPU performance optimization Large-scale system design Strong skills in algorithm design and implementation, familiarity with training frameworks such as PyTorch/Caffe/TensorFlow is a plus. Understanding of computer vision, machine learning, deep learning, or related knowledge, with practical or research experience in areas such as object detection, segmentation, tracking, or 3D reconstruction is a plus. Experience in the autonomous driving domain is preferred Knowledge of robotics system (ROS, PCL) is preferred Compensation and Benefits Base Salary Range: $120,000 - $200,000 Annually Compensation may vary outside of this range depending on many factors, including the candidate's qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units. Also, we provide the following benefits to the eligible employees: Health Care Plan (Medical, Dental & Vision) Retirement Plan (Traditional and Roth 401k) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Free Food & Snacks

Job Description Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai's leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world's top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in November 2024. About The Role As part of the Perception team, you will help design and build the sensor data pipeline that powers our self-driving vehicles. Our team is responsible for turning raw sensor signals into reliable, real-time information that enables advanced perception models. You'll work across multiple sensing modalities - cameras, lidars, radars, IMUs, microphones, and more - and help ensure that our autonomous driving system can perceive the world with accuracy and robustness. This role is a great fit for engineers excited about robotics, sensor systems, and building the bridge between hardware and AI models. Responsibilities Work on algorithms, tools, and models that extract critical information from multi-modal sensors in real time. Develop and validate systems that ensure sensor data is accurate, synchronized, and reliable, including calibration, error detection, and health monitoring. Integrate sensor data into the perception stack and build efficient data flows that power real-time algorithms. Preprocess multi-sensor inputs to improve perception performance, such as time synchronization and ground detection. Contribute to the overall perception pipeline, from raw sensor integration to AI-ready features. Requirements Bachelor's, Master's, or PhD degree in Computer Science, Robotics, Computer Vision, or related fields. Solid programming skills in C++ and/or Python. Strong problem-solving and debugging skills, with exposure to real-time or systems-level software a plus. Familiarity with one or more areas: robotics, computer vision, signal processing, or deep learning. Excellent communication skills and ability to work in a collaborative, fast-paced environment. Compensation and Benefits Base Salary Range: $120,000 - $200,000 Annually Compensation may vary outside of this range depending on many factors, including the candidate's qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units. Also, we provide the following benefits to the eligible employees: Health Care Plan (Medical, Dental & Vision) Retirement Plan (Traditional and Roth 401k) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Free Food & Snacks Please click here for our privacy disclosure.

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai's leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world's top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in November 2024. About The Role As part of the Perception team, you will help design and build the sensor data pipeline that powers our self-driving vehicles. Our team is responsible for turning raw sensor signals into reliable, real-time information that enables advanced perception models. You'll work across multiple sensing modalities - cameras, lidars, radars, IMUs, microphones, and more - and help ensure that our autonomous driving system can perceive the world with accuracy and robustness. This role is a great fit for engineers excited about robotics, sensor systems, and building the bridge between hardware and AI models. Responsibilities Work on algorithms, tools, and models that extract critical information from multi-modal sensors in real time. Develop and validate systems that ensure sensor data is accurate, synchronized, and reliable, including calibration, error detection, and health monitoring. Integrate sensor data into the perception stack and build efficient data flows that power real-time algorithms. Preprocess multi-sensor inputs to improve perception performance, such as time synchronization and ground detection. Contribute to the overall perception pipeline, from raw sensor integration to AI-ready features. Requirements Bachelor's, Master's, or PhD degree in Computer Science, Robotics, Computer Vision, or related fields. Solid programming skills in C++ and/or Python. Strong problem-solving and debugging skills, with exposure to real-time or systems-level software a plus. Familiarity with one or more areas: robotics, computer vision, signal processing, or deep learning. Excellent communication skills and ability to work in a collaborative, fast-paced environment. Compensation and Benefits Base Salary Range: $120,000 - $200,000 Annually Compensation may vary outside of this range depending on many factors, including the candidate's qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units. Also, we provide the following benefits to the eligible employees: Health Care Plan (Medical, Dental & Vision) Retirement Plan (Traditional and Roth 401k) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Free Food & Snacks Please click here for our privacy disclosure.

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai's leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world's top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in November 2024. Responsibility As a Software Engineer in Perception Infrastructure, you will be responsible for developing the foundation for the Perception System used on the self-driving vehicle. You will work with the world-class Perception developers and researchers together to improve the overall performance and quality of Perception. Requirements Strong programming skills in C++, with a solid foundation in data structures and algorithms. BS/MS or Ph.D in Computer Science or a related field Open to master new grads/fresh PhD Preferred Experience Multi-thread programming CPU or GPU performance optimization Large-scale system design Strong skills in algorithm design and implementation, familiarity with training frameworks such as PyTorch/Caffe/TensorFlow is a plus. Understanding of computer vision, machine learning, deep learning, or related knowledge, with practical or research experience in areas such as object detection, segmentation, tracking, or 3D reconstruction is a plus. Experience in the autonomous driving domain is preferred Knowledge of robotics system (ROS, PCL) is preferred Compensation and Benefits Base Salary Range: $120,000 - $200,000 Annually Compensation may vary outside of this range depending on many factors, including the candidate's qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units. Also, we provide the following benefits to the eligible employees: Health Care Plan (Medical, Dental & Vision) Retirement Plan (Traditional and Roth 401k) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Free Food & Snacks

Job Description Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai's leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world's top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in November 2024. Responsibility Design and develop innovative and scalable solutions for challenges related to HD mapping in autonomous driving Write and maintain software that runs both in vehicles and cloud-based environments Build backend infrastructure (e.g., geospatial databases, ML systems and UI tools) to manage and process map data Collaborate closely with cross-functional teams (e.g., Perception, Planning & Control) to enhance the overall performance and reliability of autonomous driving systems Requirements BS, MS or PhD in Mechanical Engineering, Electrical Engineering, Robotics, Aerospace Engineering, Computer Science or other related fields Strong programming skills in C++ Software engineering experience Strong mathematical skills Compensation and Benefits Base Salary Range: $120,000 - $180,000 Annually Compensation may vary outside of this range depending on many factors, including the candidate's qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units. Also, we provide the following benefits to the eligible employees: Health Care Plan (Medical, Dental & Vision) Retirement Plan (Traditional and Roth 401k) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Free Food & Snacks Please click here for our privacy disclosure.

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai's leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural "XB100" 2023 list of the world's top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in November 2024. Responsibility As a Software Engineer in Perception Infrastructure, you will be responsible for developing the foundation for the Perception System used on the self-driving vehicle. You will work with the world-class Perception developers and researchers together to improve the overall performance and quality of Perception.