PlusAI jobs

Plus, also known as PlusAI, is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World's Most Innovative Companies. Partners including TRATON GROUP's Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you're ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. Plus is looking for a functional safety manager specializing in vehicle embedded control software systems. In this role, you will directly influence how our autonomous system achieves higher levels of autonomy with robustness and industry leading safety. You will be responsible for collecting and analyzing customer requirements and defining the functional safety goals for the autonomous system. You will conduct various safety reviews, evaluating the design robustness across the defined operating scenarios and conditions that our trucks can encounter. Additionally, this role interacts with various engineering teams to maintain interfaces and refine requirements for software systems. Responsibilities: * Work in coordination with global engineering teams to define vehicle-level self-driving requirements. * Define system reliability and robustness requirements for the autonomous ECU, sensor set and electrical interfaces. * Conduct Hazard Analysis & Risk Assessment (HARA) reviews of autonomous systems/features. * Conduct Failure Mode and Effect Analysis (FMEA) reviews of autonomous systems/features. * Work with a data infrastructure team to identify operational data to quantify real world performance. * You will be in a customer facing role, representing Plus for interactions with OEMs * Ensure that your work is performed in accordance with the company's Quality Management System (QMS) requirements and contribute to continuous improvement efforts. * Ensure team compliance with QMS, monitor quality, and drive process improvements. Required Skills: * Degree in CS, ME, EE, Mechatronics or related field. * Proficiency in English * 3+ years experience developing safety critical embedded systems. * 5+ years experience in automotive systems development or similar * Understanding of automotive software development process * Extensive knowledge of ISO-26262 Automotive Functional Safety. * Experience conducting safety reviews and analysis (HARA, FTA, FMEA, FMEDA etc.). * Working knowledge of ISO-21448 Safety of the Intended Function. * Working knowledge of UL4600 Evaluation of Autonomous Safety. Preferred Skills: * Experience designing automotive electrical and electronics. * Experience with a structured requirements management systems such as Jama / Polarion / DOORS. Salary Range: * $160,000 - $200,000 a year Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience. Your opportunities joining Plus Work, learn and grow in a highly future-oriented, innovative and dynamic field. Wide range of opportunities for personal and professional development. Catered free lunch, unlimited snacks and beverages. Highly competitive salary and benefits package, including 401(k) plan. 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.

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality. As a Sr Avionics Test Engineer at Reliable Robotics, you will be a part of the avionics engineering team. The avionics team is the group responsible for designing, selecting, verifying, integrating, and certifying avionics and electrical components and systems to automate unmanned aircraft under stringent civil aviation standards. The Sr Avionics Test Engineer role will focus on verifying development and flight hardware including products such as computers, remote data concentrators, and aircraft electrical systems that support the mission to automate aircraft. Responsibilities In your role as Sr Avionics Test Engineer, you will develop and deploy automated test solutions for complex avionics hardware ranging from early prototype designs through formal equipment qualification campaigns. You will design test benches and procedures to execute tests for applications ranging from circuit debugging up to system level verification. To do this you will also frequently coordinate with vendors, equipment, and engineers across multiple disciplines to facilitate successful verification campaigns. You will be responsible for tracking hardware issues, driving root cause and corrective action campaigns, and driving continuous improvement of our electrical test infrastructure. Basic Success Criteria * Bachelor's degree in electrical engineering, computer engineering, or equivalent experience * 8+ years of full cycle electronics hardware test or development experience in a professional environment * Extensive experience with test equipment, measurement techniques, and processes for hardware verification * Familiarity with programming/scripting languages (C, C++, Python) * Ability to methodically diagnose, document, and solve electronic hardware problems Preferred Criteria * Advanced degree in electrical engineering or computer engineering * Familiarity with formal industry test standards such as RTCA DO-160, MIL-STD-461/810, or similar * Experience developing and simulating complex and manufacturable printed circuit board assemblies using tools such as Altium Designer and SPICE * Excellent written and verbal communication skills * Ability to work both independently and as a leader of a high performing team This role provides an opportunity to own a wide variety of testing that is essential in verifying the safe and reliable operation of the next generation of avionics for unmanned aircraft systems. This role also has the potential to lead into a leadership role in a player/coach capacity. This role is on-site in Mountain View, CA. Must be willing to travel 30% of the time. The estimated salary range for this position is $188,000 to $250,000/annual salary + cash and stock option awards + benefits. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity. In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers and a casual work environment. This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws. All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis. At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [email protected]

At Nauto you can make an impact at a high-impact company. We believe technology can help prevent collisions and save lives with predictive-AI that detects driver state and vehicle surroundings in real-time. More than 90% of car crashes can be attributed to human error. Nauto technology is designed to predict risk and alerts the driver with advance warning to help prevent collisions, improve driver safety, and save lives. Our customers and prospects include many of the largest commercial fleets in the world along with vehicle manufacturers (OEMs), insurance providers, and autonomous vehicle companies. The company is backed by Greylock Partners, BMW iVentures, General Motors Ventures, Toyota AI Ventures, and SoftBank, and is well-positioned for continued growth. Position Overview We are seeking a highly experienced and strategic Senior Staff Data Scientist to lead high-impact initiatives that drive measurable business value. In this role, you will be a key driver of data innovation, mentor other data scientists, and collaborate cross-functionally with Product, Engineering, and Business leaders to inform decision-making and product development. You will be responsible for designing and deploying cutting-edge machine learning models that analyze vision & sensor data, leading analytical initiatives, and shaping the long-term data science strategy. Your work will directly impact driver behavior, vehicle performance, and operational safety across tens of thousands of commercial fleets. Key Qualifications M.Sc. required, Ph.D. a plus in Computer Science, Statistics, Math, Physics or similarly quantitative-heavy field At least 5+ years of related industry experience Expertise in a wide range of machine learning techniques, including deep learning, reinforcement learning, and statistical modeling Experience working with large-scale datasets with solid understanding of data processing, feature engineering, and data visualization techniques Practical experience with data science and machine learning methods, common cloud-based data analysis tools and frameworks (Spark, SQL, Pandas, Python, R, AWS, GCP, PySpark, scikit-learn, OpenCV, etc). Embraces scientifically rigorous mindset to algorithm development based on well designed experiments using real-world data to evaluate, validate and iterate Strong communication and presentation skills, with the ability to effectively convey technical information to internal and external audiences. Leadership experience is a plus. Start-up experience a plus. Key Responsibilities Design, build and deploy solutions to challenging problems leveraging access to vast real-world data Create large datasets to discover insights helpful in developing new approaches and algorithms to advance the state of the art in transportation safety Collaborate with multiple teams (Product, Perception, Device Engineering, Customer Success) to identify and clarify business or product questions, to answer and provide feedback, and to translate and refine business questions into tractable analysis, evaluation metrics or mathematical models. Location: San Francisco Bay Area (Hybrid) Perks Ground floor opportunity with the team; shape the strategic direction of the company The rare opportunity to change the world such that everyone around you is using the product you built to get around safely. We're not just another app, we're moving real people and goods and helping to reinvent transportation and logistics Sharp, motivated co-workers We also have all the best benefits, including: Comprehensive Benefits Program; Healthcare Spending Accounts (FSA, HSA) & 401(k) Generous Equity Program Pre-tax Commuter Program Flexible Work Environment Up to 20 Weeks of Parental Leave Flexible, Unlimited PTO The US base salary range for this full-time position is $180,000 - $235,000.00 . Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US, remote locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education and/or training. Your recruiter can share more about the specific salary range for your work location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity or benefits. We are committed to creating a diverse and inclusive environment that fosters learning from each other. We celebrate people of diverse backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and are committed to providing a work environment free of harassment and discrimination.

Job DescriptionWe're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality. The Communications Team is a small group of highly motivated engineers developing industry leading communications systems that enable remote operations of FAA certified commercial aircraft. As a Senior Communications Systems Engineer at Reliable Robotics, you will be a key member of the Communications Team developing the reliable and cost-efficient data link systems required to safely operate aircraft around the world from a remote control center; this system unlocks cargo logistics constraints by untethering the pilot from the aircraft. Responsibilities In your role as Senior Communications Systems Engineer you will design robust digital communication links that provide voice and data services for unmanned aircraft systems. You will analyze, develop, and implement creative solutions including satellite and terrestrial-based radio frequency communication networks to allow aircraft to be operated reliably within the U.S. National Airspace. You will drive the communication system architecture from cradle to grave. Duties will include creating models and simulations of RF links and networks, working with network providers to negotiate and validate service level agreements, and testing communications equipment on the ground and in-flight. In this role you will be instrumental in establishing the technologies, internal processes, and business relationships that facilitate a new generation of communication for autonomy in civil aviation.Basic Success Criteria Bachelor's degree or greater in electrical engineering, computer science, aerospace engineering, or equivalent industry experience 8+ years of professional experience in the design, integration, and testing of data links for remotely operated systems (UAVs, spacecraft, etc) Demonstrated self-starter with the ability to troubleshoot and solve technical problems pertaining to radio frequency communication networks Ability to work well independently and cross-functionally across multiple organizations Excellent written and verbal communication skills Preferred Criteria Professional flight experience or in-depth understanding of operations in the National Airspace System Demonstrated understanding of aviation digital data link technologies (e.g. CPDLC) Experience with integration and test of wireless communication systems for high assurance applications Experience with safety-critical software engineering processes This role is essential to the core mission of deploying civil unmanned aircraft systems. You will be on the frontier of integrating remote operation capability in the national airspace through the development of safe and reliable communication links that can operate everywhere. This role will be based at our headquarters in Mountain View, CA. Must be willing to travel 20% of the time. The estimated salary range for this position is $188,000 to $250,000/annual salary + cash and stock option awards + benefits. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity. In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers and a casual work environment. This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws. All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis. At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to ****************

We are seeking a highly skilled Machine Learning Engineer with deep expertise in developing Bird's Eye View (BEV) fusion models using multimodal sensor inputs, particularly LiDAR. You will play a central role in designing scalable perception algorithms that integrate data from camera, LiDAR, and radar sensors to support autonomous driving and 3D scene understanding. Responsibilities: * Design, implement, and optimize BEV-based perception models that fuse camera, LiDAR, and radar inputs. * Benchmark perception models using large-scale datasets and well-defined quantitative metrics. * Collaborate cross-functionally with research, data, and deployment engineers to refine models and support real-world applications. * Maintain a strong focus on performance, robustness, and scalability for deployment in production systems. * Ensure that your work is performed in accordance with the company's Quality Management System (QMS) requirements and contribute to continuous improvement efforts. * Ensure team compliance with QMS, monitor quality, and drive process improvements. Required Skills: * Ph.D. or Masters in AI, Computer Science, Electrical Engineering, Robotics, or a related field. * Ph.D. new grad or Masters + 3 years industry experience * Proficiency in Python and experience building deep learning pipelines. * Strong expertise in PyTorch, TensorFlow, or JAX. * Proven experience with LiDAR-based 3D perception and BEV representation models * Deep understanding of multimodal sensor fusion architectures and techniques. * Familiarity with camera, LiDAR, and radar modalities and their synchronization, calibration, and integration in perception pipelines. * Solid foundation in computer vision, deep learning, and 3D geometry. Preferred Skills: * Industry or academic experience in autonomous vehicle perception, robotics, or related areas. * Hands-on experience developing deep learning models in real-world or production environments. * Experience with distributed training, high-performance computing, or GPU acceleration. $145,000 - $200,000 a year Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience. 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.

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality. As an Avionics Test Engineer at Reliable Robotics, you will be a part of the avionics engineering team. The avionics team is the group responsible for designing, selecting, verifying, integrating, and certifying avionics and electrical components and systems to automate unmanned aircraft under stringent civil aviation standards. The Avionics Test Engineer role will focus on verifying development and flight hardware including products such as computers, remote data concentrators, and aircraft electrical systems that support the mission to automate aircraft. Responsibilities In your role as Avionics Test Engineer, you will develop and deploy automated test solutions for complex avionics hardware ranging from early prototype designs through formal equipment qualification campaigns. You will design test benches and procedures to execute tests for applications ranging from circuit debugging up to system level verification. To do this you will also frequently coordinate with vendors, equipment, and engineers across multiple disciplines to facilitate successful verification campaigns. You will be responsible for tracking hardware issues, driving root cause and corrective action campaigns, and driving continuous improvement of our electrical test infrastructure. Basic Success Criteria * Bachelor's degree in electrical engineering, computer engineering, or equivalent experience * 4+ years of full cycle electronics hardware test or development experience in a professional environment * Familiarity with programming/scripting languages (C, C++, Python) * Ability to methodically diagnose, document, and solve electronic hardware problems Preferred Criteria * Advanced degree in electrical engineering or computer engineering * Familiarity with formal industry test standards such as RTCA DO-160, MIL-STD-461/810, or similar * Experience with test equipment, measurement techniques, and processes for hardware verification * Experience developing and simulating complex and manufacturable printed circuit board assemblies using tools such as Altium Designer and SPICE * Excellent written and verbal communication skills * Ability to work well independently and cross-functionally across multiple organizations This role provides an opportunity to own a wide variety of testing that is essential in verifying the safe and reliable operation of the next generation of avionics for unmanned aircraft systems. This role is on-site in Mountain View, CA. Must be willing to travel 30% of the time. The estimated salary range for this position is $118,000 to $170,000/annual salary + cash and stock option awards + benefits. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity. In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers and a casual work environment. This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws. All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis. At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [email protected]

You will develop and optimize the core infrastructure that facilitates reliable, low-latency execution of on-vehicle robotics software. Your mission extends beyond building a rock-solid foundation for autonomous driving - you will also equip engineers with the tools needed to analyze system behavior, identify performance bottlenecks, and enhance robustness. In this role, you will contribute to existing frameworks, libraries, and tools while also designing and implementing new components across various mission-critical domains.Responsibilities: Design and optimize low-latency interprocess communication and data flow monitoring. Develop high-performance event logging and structured telemetry. Implement safety-enhanced memory allocators and efficient memory provisioning policies. Build lock-free data structures and algorithms to support real-time system requirements. Work on network communication and coherency protocols. Develop on-the-fly component health monitoring and rapid response mechanisms for critical events. Manage on-vehicle configurations and system state validation. Optimize low-level OS interactions and fine-tune system performance. Ensure that your work is performed in accordance with the company's Quality Management System (QMS) requirements and contribute to continuous improvement efforts. Ensure team compliance with QMS, monitor quality, and drive process improvements. Required Skills: BS in Computer Science, Electrical Engineering, or related field. Solid hands-on coding experience using C++14(or later) Strong understanding of Linux development tools, including build systems, compilers, debuggers, and performance analyzers. Excellent written and verbal communication skills. Proactive problem-solving mindset: ability to identify, propose, and implement solutions. Preferred Skills: Experience in writing, debugging, and profiling multithreaded C++ applications. Familiarity with robotics-related libraries such as ROS. Knowledge of real-time OS, database internals, network programming, GPGPU, or robotics. Salary Range: $120,000 - $200,000 a year Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.

Job DescriptionResponsibilities: Develop safety-critical software for self-driving vehicles by leading, managing, and expanding a team focused on the motion forecasting & planning. Assume responsibility for the overall planning, execution, and success of autonomous driving related projects Actively code and develop prototypes to test novel algorithms and ideas. Foster a culture of experimentation and innovation, while promoting technical excellence and accountability within the team. Scale end-to-end ML pipelines for research and production, from data ingestion and pre-processing to model training, validation, deployment, and monitoring. Stay on top of the latest trends, technologies, and best practices in machine learning and artificial intelligence. Present the progress to senior leadership and cross-functional teams. Ensure that technical work meets customer requirements, regulatory standards, and company quality policies. Ensure that your work is performed in accordance with the company's Quality Management System (QMS) requirements and contribute to continuous improvement efforts. Ensure team compliance with QMS, monitor quality, and drive process improvements. Required Skills: 7-10 years of experience building data-driven, fault-tolerant systems Proven record of delivering a DL based system MS or PhD in Computer Science or equivalent practical experience Extensive experience designing and building modern planning systems a big plus Passionate about writing amazing, robust, safety-critical, efficient C++ and Python Preferred Skills: Experience in deep learning, mobile robotics, geometric modeling and trajectory generation Salary Range $200,000 - 280,000 Exact compensation may vary based on skills and experience. 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.

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality. As a Client Platform Engineer, you will be a part of our IT and Security team. Your work will have a key impact on the development of Reliable Robotic's internal infrastructure and processes. You will work as part of the IT and Security team towards building, deploying and managing tools. You will be working on building or improving existing automation to support standardization efforts, with a focus on end-user facing endpoints. Responsibilities In your role as a Client Platform Engineer, you will be responsible for the design, implementation of tools supporting the business internal needs and standards, as well as support of the IT related needs of our end-users. You will be involved in the design and implementation of tools and their supporting infrastructure, to improve the daily experience of our users across the entire business. This will include managing SaaS services, managing physical infrastructure, and cloud infrastructure to support the needs of the teams at Reliable. You will be responsible for identifying additional opportunities for standardization, improvement of the user experience, and training various teams, including the IT/Security teams you will be working on, for redundancy when new tooling is introduced. Basic Success Criteria 5+ years of experience supporting business needs in IT Excellent troubleshooting skills Basic networking skills and understanding of basic network services (vlan/routing/wifi/dhcp/dns/etc) Previous management of in-office infrastructure (wifi, printing, etc) Experience with MDM platforms to manage Apple devices (mac OS, iOS, iPadOS) and Windows 11 devices Experience with configuration management systems such as Puppet (preferred), Chef or Ansible Scripting skills in various languages (Python, bash, powershell) Understanding of SSL certificates, and PKI infrastructure Preferred Success Criteria Ability to explain complex concepts to users or colleagues Ability to troubleshoot problems remotely (over Slack, Google Meet, or others) Familiarity with Google Workspace management (access and management of Google services, integration of Google with other services, and the security mechanisms available in those environments) Experience with virtualization/containerization, both in AWS and GCP, KVM, LXC, and Docker Development tooling experience (git, github, vscode, pip3) Experience with AWS services (IAM, ec2, s3, route53, SSO, lambda, etc) Application (re)packaging and management (msi/pkg/deb) Experience in environments where data management, classification and handling is critical Experience with end-user supports with software and computing devices Mobile device management and BYOD policiesr This position is based at our facility in Mountain View, California. Must be willing to travel up to 10% of the time. The estimated salary range for this position is $125,000 to $185,000/annual salary + cash and stock option awards + benefits. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity. In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers and a casual work environment. This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws. All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis. At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to ****************

Job DescriptionPlus, also known as PlusAI, is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World's Most Innovative Companies. Partners including TRATON GROUP's Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you're ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.Responsibilities: Work closely with our autonomy and runtime teams to improve our redundant on-vehicle platform and autonomous software stack. Develop perspectives on where opportunities and gaps might be in our redundant software and hardware strategy with a longer-term horizon in mind Integrate and optimize performance and robustness of different autonomous software component into redundant on-vehicle platform. Design and develop fault detection and fault handling strategies for redundant on-vehicle platform. Design and develop validation strategies for redundant on-vehicle platform, including on vehicle testing, Sil and HiL simulation testing. Evaluate, integrate and optimize partner middleware into our AD stack Owns or help with driverless operation key features, like mission control, tele assist, etc. Ensure that your work is performed in accordance with the company's Quality Management System (QMS) requirements and contribute to continuous improvement efforts. Ensure team compliance with QMS, monitor quality, and drive process improvements. Required Skills: Minimum 5+ years of professional experience MS or PhD in Computer Science or related field Strong programming skills in C++ and Python Basic understanding of computer vision and deep learning models Hands-on experience of high performance IPC / middleware stack Strong analytical skills, especially for performance troubleshooting (e.g. profiling, roofline model) Familiarity with CUDA, OpenCL, OpenVX, Halide or other SIMD programming models. Ability to quickly learn and adapt to new technology Ability to work on large code bases and a fast growing environment Strong communication skills Familiar with Linux system and basic kernel tuning, network tuning, device tree tuning, timesync, etc. Comfortable with On-vehicle troubleshooting and performance profiling Preferred Skills Experience with CV pipeline and model inference on edge platforms Experience with ROS2 and DDS Experience with automotive HPC SoCs (Nvidia preferred) Experience with QNX Your opportunities joining PlusWork, learn and grow in a highly future-oriented, innovative and dynamic field.Wide range of opportunities for personal and professional development.Catered free lunch, unlimited snacks and beverages.Highly competitive salary and benefits package, including 401(k) plan. 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.

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality. As a Systems Architect at Reliable Robotics, you will be a part of the Systems team and will report to the Systems & Safety Manager. The Systems & Safety Team is responsible for architecting systems which support novel safety-critical functions, establishing development methodologies for new technologies, and complying with the federal regulations. As part of an experienced multi-disciplinary team, you will contribute to expanding the aircraft's operational and functional capabilities. Your professional experience in system design and development will further strengthen the team's ability to meet rigorous expectations of stakeholders and certification authorities. You will collaborate with members from other groups within Reliable Robotics to architect new and novel systems necessary for unmanned aircraft operations. Responsibilities In your role as a Systems Architect you will be responsible for the development and architectural design of prototypes and certifiable safety-critical flight systems in a dynamic start-up work environment.You will have the following responsibilities: Define new/novel functions necessary to control autonomous aircraft and manage contingencies Define the relationship between the vehicle, pilot, and support system for remotely operated autonomous aircraft Perform the decomposition of aircraft, system and LRU functions, define the system physical / logical architecture and allocate functionality Perform trades studies to assess performance, complexity, risk, and cost of competing technical solutions Work closely with system and safety analysts to define system architectural features to meet safety and security requirements Derive and validate requirements and interfaces based on the architecture to ensure correct and complete implementation at the next design level Support product development all the way through development up to production, test, and certification You'll also have the opportunity to interact with other domains within Reliable Robotics and become involved in a broad task spectrum not limited to typical system engineering activities. Basic Success Criteria Bachelor's Degree of Science or Engineering in Mechanical, Electrical, Aerospace, or related discipline, or equivalent experience at a minimum Broad experience from 7+ years of designing and integrating various complex safety-critical aerospace systems Demonstrated self starter with the ability to solve problems from first principles Ability to work well independently and cross-functionally across multiple organizations Preferred Criteria Advanced Degree of Science or Engineering in Mechanical, Electrical, Aerospace, or related discipline Demonstrated ability to justify novel architectural solutions to regulators Experience certifying flight critical systems, hardware, and software via ARP4754A, ARP4761, DO-254, and DO-178C respectively We are developing and building high-integrity safety-critical systems for automated flight, and your role is critical to what we do at Reliable Robotics. With the support of the entire team, you will be making key aircraft architectural design decisions to drive our core mission forward. This role can be remote, or located at our facility in Mountain View, California. Must be willing to travel up to 20% of the time. The estimated salary range for this position is $190,000 to $300,000/annual salary + cash and stock option awards + benefits. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity. In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers and a casual work environment. This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws. All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis. At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [email protected]

Job DescriptionPlus, also known as PlusAI, is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World's Most Innovative Companies. Partners including TRATON GROUP's Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you're ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. This role will be part of the hardware team which is responsible for design and development of new platforms and maintenance of the existing platforms. Responsibilities: Define HW architecture for integration into OEM vehicles Define and Design mechanical and thermal hardware solutions Design cosmetic covers and finishes for the autonomous vehicles Work with OEM and partners to get buy in on final designs and integration plans Help build and improve new and current designs Work with cross functional teams to define product requirements Ensure that your work is performed in accordance with the company's Quality Management System (QMS) requirements and contribute to continuous improvement efforts. Ensure team compliance with QMS, monitor quality, and drive process improvements. Required Skills: Bachelor's Degree in Mechanical Engineering 5+ years of hands-on, detailed product design experience Proficiency in CAD tools such as SolidWorks, Creo, Unigraphics Experience working with surfacing tools on CAD tools GD&T knowledge and experience releasing 2D drawings Experience with vendor FAI/CPK dimensional reports Practical experience working through DFM challenges with external vendors Pdmlink/ Arena knowledge and experience a plus Preferred Skills: Extensive experience using CAD, product design, managing requirements, tracking and resolving issues and resolutions. Ability to work cross functionally with other departments to achieve product goals. Demonstrated hands-on mechanical and manufacturing process experience and engineering development. Experience with FEA tools and understanding of vibration, fatigue and solid mechanics First-principles physics understanding of multiple engineering disciplines such as: heat transfer, thermodynamics, fluid dynamics and electrical fundamentals. Ability to travel. Exact compensation may vary based on skills and experience Your opportunities joining PlusWork, learn and grow in a highly future-oriented, innovative and dynamic field.Wide range of opportunities for personal and professional development.Catered free lunch, unlimited snacks and beverages.Highly competitive salary and benefits package, including 401(k) plan. 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.

Job DescriptionPlus, also known as PlusAI, is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World's Most Innovative Companies. Partners including TRATON GROUP's Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you're ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. As a Senior ML Infrastructure Engineer at Plus, you will design scalable architectures capable of handling petabytes of data while ensuring optimal performance for both training and inference phases. You will build robust pipelines for managing model versioning systems and experiment tracking frameworks, which are essential for maintaining reproducibility across experiments. Additionally, you will be responsible for managing large-scale GPU clusters. This role offers unparalleled opportunities-both technically and professionally-for individuals passionate about solving challenging problems using modern cloud-native technologies. Ideal candidates thrive in environments that leverage tools such as Docker containers orchestrated via Kubernetes clusters, seamlessly integrated with state-of-the-art deep learning frameworks like PyTorch or TensorFlow. If you are eager to push the boundaries of what's possible in machine learning infrastructure and contribute to cutting-edge solutions, this position is an excellent fit!Responsibilities: Design and develop scalable, high-performance systems for training, inference, deploying, and monitoring ML models at scale. Build and maintain efficient data pipelines, model versioning systems, and experiment tracking frameworks. Collaborate with cross-functional teams, including ML researchers and engineers, to identify bottlenecks and improve platform usability. Implement distributed systems and storage solutions optimized for machine learning workloads Drive improvements in CI/CD workflows for ML models and infrastructure. Ensure high availability and reliability of the ML platform by implementing robust monitoring, logging, and alerting systems. Stay current with industry trends and integrate relevant tools and frameworks to enhance the platform. Mentor junior engineers and contribute to a culture of technical excellence Ensure that your work is performed in accordance with the company's Quality Management System (QMS) requirements and contribute to continuous improvement efforts. Ensure team compliance with QMS, monitor quality, and drive process improvements. Required Skills: Phd or MS in Computer Science, Electrical Engineering, or related field Good oral and written communication skills Phd new grad or Masters with 3+ years of software engineering experience with a focus on ML infrastructure or distributed systems. Proficiency in in Python, C++, SQL Deep understanding of containerization, orchestration technologies, distributed ML workload, and experiment tracking tools (e.g., Docker, Kubernetes, multiprocessing, Kubeflow, and mlflow) Deploy and manage resources across multiple cloud platforms (AWS, GCP, or on-prem environments) Proficiency in at least one deep learning framework, such as PyTorch and data pipeline tools (e.g., Apache Airflow, Prefect). Strong knowledge of distributed systems, databases, and storage solutions. Extensive software design and development skills. Ability to learn and adapt to new technologies and contribute in a productive environment. Preferred Skills: Familiarity with fundamental deep learning architectures, such as Convolutional Neural Networks (CNNs) and Transformer models Experience in building large-scale ML datasets, MLOps pipelines, and distributed computing frameworks like Ray Experience working with autonomous vehicles or robotics Salary Range: $160,000 - $200,000 a year Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience. Your opportunities joining PlusWork, learn and grow in a highly future-oriented, innovative and dynamic field.Wide range of opportunities for personal and professional development.Catered free lunch, unlimited snacks and beverages.Highly competitive salary and benefits package, including 401(k) plan. 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.

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality. As a System Integration Engineer at Reliable Robotics, you will work on a team with mechanical, electrical, and software engineers, reporting to the system integration engineering manager. This is a small team of highly motivated people designing, testing, and flying advanced automated systems. We enjoy combining mechanical and electrical hardware and getting it onto an aircraft safely and quickly. Responsibilities In your role as a system integration engineer, you will get to own vehicle level projects through the planning, design, and testing phases of development. You will own a large breadth of projects from primary flight control hardware, data acquisition hardware, hardware in the loop testing, ground station development, and integration with the software and human machine interface teams. You will be responsible for guiding the schedule and sequencing of large integration projects with significant ownership of which aircraft functions are the highest priority to be integrated and tested on vehicle. Basic Success Criteria Bachelor's degree in science or engineering or equivalent industry experience 8+ Years of industry experience designing, integrating, and testing electromechanical systems Solid understanding of engineering fundamentals Experience using system design fundamentals Experience reading electrical wiring schematics Experience testing systems for proper performance Experience writing and running code Excellent project management skills Preferred Criteria Experience designing a system architecture and weighing design options to accomplish specific system requirements Experience performing vehicle safety assessments, risk assessments, and contingency management Ability to design, build, and operate test stands and equipment Excellent measurement, technical writing, and data analysis skills Eagerness to both teach and learn Ability to work both independently and as a leader of a high performing team The position will be located at our facility in Mountain View, California. Must be willing to travel up to 10% of the time. The estimated salary range for this position is $162,000 to $220,000/annual salary + cash and stock option awards + benefits. At Reliable Robotics we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity. In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers and a casual work environment. This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws. All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis. At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to ****************

Responsibilities: Develop safety-critical software for self-driving vehicles by leading, managing, and expanding a team focused on the motion forecasting & planning. Assume responsibility for the overall planning, execution, and success of autonomous driving related projects Actively code and develop prototypes to test novel algorithms and ideas. Foster a culture of experimentation and innovation, while promoting technical excellence and accountability within the team. Scale end-to-end ML pipelines for research and production, from data ingestion and pre-processing to model training, validation, deployment, and monitoring. Stay on top of the latest trends, technologies, and best practices in machine learning and artificial intelligence. Present the progress to senior leadership and cross-functional teams. Ensure that technical work meets customer requirements, regulatory standards, and company quality policies. Ensure that your work is performed in accordance with the company's Quality Management System (QMS) requirements and contribute to continuous improvement efforts. Ensure team compliance with QMS, monitor quality, and drive process improvements. Required Skills: 7-10 years of experience building data-driven, fault-tolerant systems Proven record of delivering a DL based system MS or PhD in Computer Science or equivalent practical experience Extensive experience designing and building modern planning systems a big plus Passionate about writing amazing, robust, safety-critical, efficient C++ and Python Preferred Skills: Experience in deep learning, mobile robotics, geometric modeling and trajectory generation Salary Range $200,000 - 280,000 Exact compensation may vary based on skills and experience.

Plus, also known as PlusAI, is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World's Most Innovative Companies. Partners including TRATON GROUP's Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you're ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. Plus is looking for a functional safety manager specializing in vehicle embedded control software systems. In this role, you will directly influence how our autonomous system achieves higher levels of autonomy with robustness and industry leading safety. You will be responsible for collecting and analyzing customer requirements and defining the functional safety goals for the autonomous system. You will conduct various safety reviews, evaluating the design robustness across the defined operating scenarios and conditions that our trucks can encounter. Additionally, this role interacts with various engineering teams to maintain interfaces and refine requirements for software systems.Responsibilities: Work in coordination with global engineering teams to define vehicle-level self-driving requirements. Define system reliability and robustness requirements for the autonomous ECU, sensor set and electrical interfaces. Conduct Hazard Analysis & Risk Assessment (HARA) reviews of autonomous systems/features. Conduct Failure Mode and Effect Analysis (FMEA) reviews of autonomous systems/features. Work with a data infrastructure team to identify operational data to quantify real world performance. You will be in a customer facing role, representing Plus for interactions with OEMs Ensure that your work is performed in accordance with the company's Quality Management System (QMS) requirements and contribute to continuous improvement efforts. Ensure team compliance with QMS, monitor quality, and drive process improvements. Required Skills: Degree in CS, ME, EE, Mechatronics or related field. Proficiency in English 3+ years experience developing safety critical embedded systems. 5+ years experience in automotive systems development or similar Understanding of automotive software development process Extensive knowledge of ISO-26262 Automotive Functional Safety. Experience conducting safety reviews and analysis (HARA, FTA, FMEA, FMEDA etc.). Working knowledge of ISO-21448 Safety of the Intended Function. Working knowledge of UL4600 Evaluation of Autonomous Safety. Preferred Skills: Experience designing automotive electrical and electronics. Experience with a structured requirements management systems such as Jama / Polarion / DOORS. Salary Range: $160,000 - $200,000 a year Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience. Your opportunities joining PlusWork, learn and grow in a highly future-oriented, innovative and dynamic field.Wide range of opportunities for personal and professional development.Catered free lunch, unlimited snacks and beverages.Highly competitive salary and benefits package, including 401(k) plan.

Job DescriptionPlus, also known as PlusAI, is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World's Most Innovative Companies. Partners including TRATON GROUP's Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you're ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. As a Senior Software Engineer on our controls team, you will deliver mission-critical improvements and new features for our autonomy motion planning and control stack. You will be a crucial part of our team, working alongside engineers, research scientists, and domain experts to build optimal and data driven controls to realize planned vehicle trajectories. Your responsibilities will include the development of machine-learning vehicle models and learning based control policies, leveraging the extensive data we collect every day across our autonomous trucking fleet. You will also have the opportunities to solve real-world autonomy system challenges by participating in vehicle performance analysis, tuning, and troubleshooting. You will contribute significantly to our commitment to pushing the frontiers of technological innovation in autonomy.Responsibilities Design, implement, and enhance control algorithms by developing frameworks that integrate MPC with learning based approaches (DL/RL/IL). Responsible for the conceptual design and implementation of data driven controller by working cross-functionally with domain experts and other stakeholders by specifying meaningful insights for solving trajectory tracking problems. Develop tools and infrastructure for dataset generation, training, and evaluation to drive advancements in online control optimization. Ensure all model development keeps a real-time focus and operates efficiently in compute-constrained environments. Take a lead role in the planning and execution of vehicle testing in the offline simulation environment and on public roads to systematically improve performance, as well as performing root cause analysis and debugging to address any issues. Track and incorporate the latest multidisciplinary research advancements in a fast-moving field. Ensure that your work is performed in accordance with the company's Quality Management System (QMS) requirements and contribute to continuous improvement efforts. Ensure team compliance with QMS, monitor quality, and drive process improvements. Required Skills Master's or PhD degree in Mechanical Engineering, Robotics, Aerospace Engineering, Computer Science, or related field. 2+ years of MLE experience or industry experience designing and developing for robotics applications. Strong foundation in motion control and modern neural network architectures, with expertise in at least one application area, such as IL/RL, time-series analysis, or dynamic system modeling. Skilled in debugging robotic systems within Linux environments, with strong programming expertise in Python and C++. Experience in model development & training with modern frameworks (e.g. PyTorch). Hands-on familiarity with data ingestion and processing pipelines. Preferred Skills Hands-on application skills in any of the following areas: adaptive and nonlinear control, MPC & optimal control, robust control, data-driven control, Kalman filters, etc. Have a solid understanding of AV control, vehicle dynamics and drive-by-wire systems. Proven expertise with Application, Verification and Validation for ADAS / autonomous driving features and functions. Experience implementing Safety guarantees for dynamical systems. Exact compensation may vary based on skills and experience.Your opportunities joining PlusWork, learn and grow in a highly future-oriented, innovative and dynamic field.Wide range of opportunities for personal and professional development.Catered free lunch, unlimited snacks and beverages.Highly competitive salary and benefits package, including 401(k) plan. 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.

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality. As an Avionics Test Engineer at Reliable Robotics, you will be a part of the avionics engineering team. The avionics team is the group responsible for designing, selecting, verifying, integrating, and certifying avionics and electrical components and systems to automate unmanned aircraft under stringent civil aviation standards. The Avionics Test Engineer role will focus on verifying development and flight hardware including products such as computers, remote data concentrators, and aircraft electrical systems that support the mission to automate aircraft. Responsibilities In your role as Avionics Test Engineer, you will develop and deploy automated test solutions for complex avionics hardware ranging from early prototype designs through formal equipment qualification campaigns. You will design test benches and procedures to execute tests for applications ranging from circuit debugging up to system level verification. To do this you will also frequently coordinate with vendors, equipment, and engineers across multiple disciplines to facilitate successful verification campaigns. You will be responsible for tracking hardware issues, driving root cause and corrective action campaigns, and driving continuous improvement of our electrical test infrastructure.Basic Success Criteria Bachelor's degree in electrical engineering, computer engineering, or equivalent experience 4+ years of full cycle electronics hardware test or development experience in a professional environment Familiarity with programming/scripting languages (C, C++, Python) Ability to methodically diagnose, document, and solve electronic hardware problems Preferred Criteria Advanced degree in electrical engineering or computer engineering Familiarity with formal industry test standards such as RTCA DO-160, MIL-STD-461/810, or similar Experience with test equipment, measurement techniques, and processes for hardware verification Experience developing and simulating complex and manufacturable printed circuit board assemblies using tools such as Altium Designer and SPICE Excellent written and verbal communication skills Ability to work well independently and cross-functionally across multiple organizations This role provides an opportunity to own a wide variety of testing that is essential in verifying the safe and reliable operation of the next generation of avionics for unmanned aircraft systems. This role is on-site in Mountain View, CA. Must be willing to travel 30% of the time. The estimated salary range for this position is $118,000 to $170,000/annual salary + cash and stock option awards + benefits. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity. In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers and a casual work environment. This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws. All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis. At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to ****************

Plus, also known as PlusAI, is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World's Most Innovative Companies. Partners including TRATON GROUP's Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you're ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. This role will be part of the hardware team which is responsible for design and development of new platforms and maintenance of the existing platforms. Responsibilities: Define HW architecture for integration into OEM vehicles Define and Design mechanical and thermal hardware solutions Design cosmetic covers and finishes for the autonomous vehicles Work with OEM and partners to get buy in on final designs and integration plans Help build and improve new and current designs Work with cross functional teams to define product requirements Ensure that your work is performed in accordance with the company's Quality Management System (QMS) requirements and contribute to continuous improvement efforts. Ensure team compliance with QMS, monitor quality, and drive process improvements. Required Skills: Bachelor's Degree in Mechanical Engineering 5+ years of hands-on, detailed product design experience Proficiency in CAD tools such as SolidWorks, Creo, Unigraphics Experience working with surfacing tools on CAD tools GD&T knowledge and experience releasing 2D drawings Experience with vendor FAI/CPK dimensional reports Practical experience working through DFM challenges with external vendors Pdmlink/ Arena knowledge and experience a plus Preferred Skills: Extensive experience using CAD, product design, managing requirements, tracking and resolving issues and resolutions. Ability to work cross functionally with other departments to achieve product goals. Demonstrated hands-on mechanical and manufacturing process experience and engineering development. Experience with FEA tools and understanding of vibration, fatigue and solid mechanics First-principles physics understanding of multiple engineering disciplines such as: heat transfer, thermodynamics, fluid dynamics and electrical fundamentals. Ability to travel. Your opportunities joining PlusWork, learn and grow in a highly future-oriented, innovative and dynamic field.Wide range of opportunities for personal and professional development.Catered free lunch, unlimited snacks and beverages.Highly competitive salary and benefits package, including 401(k) plan.