7 Autonomous Vehicles Jobs

We are seeking a Software Engineer for Autonomous Vehicles to join our DRIVE mapping team at NVIDIA. Your primary focus will be on building robust solutions for utilizing navigation maps to ensure reliable autonomous driving. If you are passionate about tackling challenges related to self-driving cars and possess a strong background in software design, embedded software, real-time software, and operating systems, we invite you to be part of our team. In this role, you will be responsible for designing and developing algorithms for map-based driving products, including map matching, optimal path finding, and navigations. You will be required to develop highly efficient code using C++14 or later, integrating algorithmic solutions into the core of NVIDIA DRIVE AV for different driving levels such as L2, L3, and L5. Additionally, you will analyze and visualize various navigation maps using Python, Typescript, or Javascript, and create scalable and distributed map KPI workflows. To qualify for this position, you should hold a BS, MS, or PhD in Computer Science or possess equivalent experience. You must have a minimum of 3 years of proven experience in building robust software and at least 3 years of modern C++ development experience. A background in computer vision, 3D geometry, and machine learning is highly desirable. Passion for robotics and autonomous vehicles, along with a drive to learn new things and solve meaningful problems, are essential qualities we are looking for. Excellent communication skills and the ability to collaborate effectively across teams are also crucial. Independent and analytical engineering skills are a must-have for this role. If you have prior experience working with automotive map formats such as NDS.Live, Adasis, software development on embedded or automotive platforms, knowledge of gRPC, Flat Buffers, and Protocol Buffers, experience with GPGPU programming (CUDA), or have optimized runtime code using profilers, you will stand out from the crowd. At NVIDIA, we believe that achieving self-driving vehicles will be a significant contribution of our generation, considering the global impact of traffic accidents. We have the resources and scope to make a difference, and we are looking for talented individuals like you to join our team. NVIDIA is renowned for being one of the most desirable employers in the technology industry, attracting forward-thinking and dedicated professionals. If you are innovative, self-motivated, and passionate about autonomous vehicles, we encourage you to apply for this exciting opportunity! JR1999246,

As a Quality Control Officer at Axalta, you will be part of a company that has remained a leader in the coatings industry through continuous investment in innovative solutions. Axalta engineers technologies that provide protection against various elements such as heat, light, corrosion, abrasion, moisture, and chemicals. Additionally, our colorful finishes not only add dimension and beauty but also cater to a diverse portfolio of brands that contribute to modernizing global infrastructure and supporting the development of electric and autonomous vehicles. Axalta operates across two business segments: Performance Coatings and Mobility Coatings, serving end markets including Refinish, Industrial, Light Vehicle, and Commercial Vehicle in regions such as North America, EMEA, Latin America, and Asia-Pacific. With a global presence in over 140+ countries and the ability to coat 30 million vehicles annually, we are committed to delivering solutions that meet the needs of our customers. At Axalta, we have set ambitious sustainability goals such as achieving carbon neutrality by 2040 and implementing 10 other sustainability initiatives. As a Quality Control Officer, you will have the opportunity to work closely with our customers to optimize their businesses and help them achieve their goals. Join us in our mission to drive innovation and make a positive impact in the coatings industry and beyond.,

Armada is a pioneering edge computing startup dedicated to providing computing infrastructure in remote areas with limited connectivity and cloud infrastructure. Our focus also lies in processing data locally for real-time analytics and AI at the edge. We are committed to bridging the digital divide by deploying advanced technology infrastructure rapidly. Join us on our mission to make a difference with cutting-edge solutions. As a Senior Product Manager at Armada, you will be instrumental in shaping the next generation of edge offerings. We are looking for a highly experienced individual with over 12 years of expertise in cloud services, SaaS, and AI applications. If you are passionate about AI, cloud, edge, and networking technology and ready to define and deliver a unique connectivity, compute, and AI platform, we invite you to be a part of our team. Your responsibilities will include developing and defining the product roadmap for a hyper-converged edge computing and AI platform, crafting product requirements based on customer needs, collaborating with cross-functional teams, conducting market research, and staying updated on emerging technologies. You will work closely with engineering, design, and marketing teams to ensure successful product delivery and conduct product demos for external parties. The ideal candidate for this role possesses a Bachelor's or Master's degree in computer science, engineering, or a related field. Additionally, having strong expertise in crafting intuitive UX for complex software solutions, excellent stakeholder management skills, and experience working with global companies across time zones are essential qualifications. If you have a vision for the future of technology and want to be part of a team that is revolutionizing edge computing and AI applications, we encourage you to apply. Join Armada and be at the forefront of innovation in high-performance computing solutions for various industries worldwide.,

Sales Manager EV & Autonomous Solutions Responsibilities: Lead sales initiatives for EV and autonomous vehicle products. Develop client relationships and identify new market opportunities. Collaborate with engineering teams to align product offerings with customer needs. Requirements: Degree in Business, Marketing, or Engineering. Proven sales experience in automotive or tech sectors. Strong communication and negotiation skills.

About The Role The India Business Development Lead holds a pivotal position in glocalizing Applied Intuition's advanced technology for the Indian market and driving the achievement of growth-oriented regional business targets. This role demands a profound technical understanding of the Indian ecosystem, coupled with astute business acumen. As an inaugural member of our Bangalore office, you will be instrumental in ensuring the comprehensive success of both our operations and local presence. Reporting to the Head of Automotive Vertical, this role carries direct responsibility for revenue targets established by the Global Head of Sales. At Applied Intuition, you will: Be responsible for the sourcing-to-closing commercial motions for Indian customers across automotive (passenger and trucking), construction & mining, and defense. Maintain a revenue strategy across Indian accounts and execute a thorough business plan, including planning for both immediate and future business growth in the region. Maintain strong connections within OEMs and be able to sell into engineering & development teams directly. Iterate with the customer on technical scope and business model, and guide the proposal through approvals. Be required to have a deep technical understanding of the Indian market's next-gen mobility technology, such as SDV platforms and ADAS/AV, along with the customers' business goals . Work with Applied Intuition's Business Development, Product, and Engineering teams to develop new proof-of-concepts, detailed proposals including Statements of Work (SOW) that define scope, deliverables, and commercial terms. Facilitate customer discovery sessions effectively to qualify and deeply understand technical requirements. Host customer workshops and organize tailored demonstrations to explain Applied Intuition's solutions to customers. We're looking for someone who has: 10+ years of prior experience in technical sales, consulting, business development or solution engineering in directly relevant or adjacent domains to Applied Intuition Proven to be a top performer - you have consistently exceeded targets Demonstrated experience creating opportunities within large strategic accounts and lengthy sales cycles Demonstrated experience selling complex business applications/technology solutions at the C-Suite level Proven ability to work across cross-functional teams and project management experience to execute complex projects Experience directly working with or selling automotive technologies and simulation tools or prior work in vehicle development, EE architecture, embedded or AD/ADAS software domains Nice to have: Familiarity with modern vehicle software development practices and the ability to speak about the topic for an hour without a technical resource in the room Experience working on a product at early stage startups from (up to Series D)

Bachelors degree in Geography, Geoinformatics, Cartography, Civil Engineering, Remote Sensing, or a related field • Minimum 12 years of hands-on experience in cartography, GIS, or AV mapping projects • Proficient in AWS Mapping Tool and at least one of the following: QGIS, ArcGIS, JOSM, Google Earth • In-depth understanding of coordinate systems, including WGS84, UTM, and local map projections • Demonstrated ability to digitize geospatial features from high-resolution aerial or satellite imagery • Familiarity with geospatial data formats such as Shapefile (.shp), .RTN, .gms • Strong foundation in road infrastructure interpretation, especially as per U.S. driving and mapping standards Desired Qualification & Experience: • Advanced knowledge of Autonomous Vehicle mapping workflows • Experience with intensity image interpretation, raster layer processing, or working with LiDAR-derived base maps • Certifications in GIS applications (ESRI, QGIS, AWS Geospatial Tools, etc.) • Prior experience working in AV simulation environments or map production pipelines • Exposure to U.S. Department of Transportation or state-level road policy compliance in mapping tasks • Experience working with map validation or QA/QC processes for geospatial data Key Responsibilities: • Digitize and edit spatial features using satellite imagery, intensity layers, and mapping tools • Operate within AV mapping frameworks and follow strict annotation guidelines based on U.S. road policies • Work with large volumes of geospatial data, ensuring accuracy, consistency, and adherence to client specifications • Process and manage multiple file types, coordinate systems, and mapping formats • Perform validation and QA on edited maps to ensure fitness for machine-readable autonomous navigation • Collaborate with cross-functional teams including data scientists, GIS engineers, and quality analysts • Escalate inconsistencies or technical challenges to project leads with detailed annotations and documentation Skills & Competencies: • Strong cartographic judgment and spatial reasoning • Attention to detail and commitment to map accuracy • Proficiency in geospatial data tools and formats • Understanding of AV technology and how geospatial inputs drive decision-making • Ability to work in structured environments with tight deadlines and high precision requirements • Effective communicator and collaborator in distributed team settings Freshers can apply, only those who have internship/training experience Immediate Joining

About the Role: We are seeking a meticulous and analytical AV Data Analyst to join our team. In this role, you will be at the heart of ensuring the safety and reliability of autonomous vehicle technology. You will perform critical analysis of a self-driving systems performance, helping to measure and improve the accuracy of AI models. Your work will directly contribute to the continued trustworthiness of driverless readiness recommendations. Key Responsibilities: • Meticulously review autonomous vehicle drivelogs to manually identify and validate vehicle capabilities, establishing a ground truth for analysis. • Compare the established ground truth against the output of automated AI extractors to measure performance. • Identify and count true positives, false negatives, and false positives to determine extractor completeness and accuracy. • Classify extracted events based on their perceived rarity, risk, or typicality. • Contribute to the creation and publication of key performance metrics, including precision and recall. • Utilize scene mining and data exploration tools to analyze large, diverse datasets. Required Skills and Qualifications: • A highly detail-oriented and analytical mindset. • Strong foundational knowledge of autonomous vehicle (AV) systems and capabilities, comparable to experience in AV scene annotation. • Experience using data analysis or scene mining tools. • Ability to work effectively as part of a team. • Strong analytical skills with the ability to identify trends and discrepancies in complex datasets. Preferred Skills: • Direct experience with data exploration tools such as Applied Data Explorer or Pylon. • Prior experience working on performance analysis for AI or machine learning models. • Familiarity with performance metrics such as precision, recall, and false positives.