4 Autonomous Driving Jobs

You should have a B.Tech, M.Tech, or higher degree in Computer Engineering, Computer Science, Electronics, Robotics Engineering, or related fields. Your written and verbal communication skills should be strong, and you should possess excellent problem-solving abilities. Proficiency in C++ for robotics and machine perception, along with knowledge in data structures and algorithms, is required. Extensive experience with OpenCV, PCL, and ROS2 is essential. You should be well-versed in Modern C++ with a deep understanding of features like RAII, STL, templates, etc. Experience in implementing Deep Learning Algorithms on GPU cluster for tasks like object detection and segmentation is necessary. Familiarity with Unix/Linux environments is a must, and you should be capable of developing software for real-time processing of sensor data from cameras, LIDAR, and other sensors. Your responsibilities will include building robust solutions to cutting-edge Autonomous driving problems and developing advanced algorithms for tasks like object detection, tracking, multi-task learning, distributed training, and multi-sensor fusion. Experience with developing production-ready software is a plus, along with maintaining large-scale libraries and working with parallel computing libraries like TBB and CUDA. Additional desirable qualifications include familiarity with linear algebra libraries such as Eigen, machine learning, software version management tools like Git, and agile development workflows and CI/CD processes.,

Description: GlobalLogic is a proven leader of software development in the automotive industry. Our customer is one of the worlds leading car manufacturers. We are looking for talented engineers to join our team in the development of forward-looking solutions for highly interconnected automotive software features. In our projects, we are focusing on the design and development of middleware components for a Linux-based operating system in connected cars. We develop software that pulls all strings together, communicates with cloud services, and implements innovative customer functions inside the car. We work in areas of remote software update, telematics & connectivity, context-aware systems, and application platforms. We are committed to modern development methodologies and tools like continuous integration, agile development, and test automation to design and implement innovative and high-quality software. As part of our dynamic and agile team, you will ensure robustness, performance, and security aspects within the software design. You will be working in a modern development environment. Dont wait and join the GlobalLogic team! Requirements: 3+ years of proven project experience in software engineering Professional experience as a embedded software developer in the automotive sector Expert knowledge of C++ (11/14/17 standard) Expert knowledge of linux Experience with embedded Linux(Yocto) or RTOS Basics of Networking Nice to have: In-depth knowledge of one or more of the topics autonomous driving,Telematics, ADAS, light, or cameras Confident use of tools such as Doors, Rhapsody and PTC Knowledge of automotive communication protocols CAN/LIN/Ethernet/FlexRay, etc. Knowledge of automotive diagnostics UDS, DoIP, etc. Understanding of AUTOSAR Adaptive (Vector Tools) Experience with QNX Job Responsibilities: Develope software code for telematics/ADAS ECU Take part in customer requirements analysis Contribute to the design and development of new features and services Participate in the analysis, diagnosis and troubleshooting of the complex parts of automotive software system Supervise and implement the developed software concepts Cooperate with other teams to follow up issues resolution Participate in strategic decisions together with the project management What We Offer Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants! About GlobalLogic GlobalLogic is a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertisewe help our clients imagine whats possible, and accelerate their transition into tomorrows digital businesses. Headquartered in Silicon Valley, GlobalLogic operates design studios and engineering centers around the world, extending our deep expertise to customers in the automotive, communications, financial services, healthcare and life sciences, manufacturing, media and entertainment, semiconductor, and technology industries. GlobalLogic is a Hitachi Group Company operating under Hitachi, Ltd. (TSE: 6501) which contributes to a sustainable society with a higher quality of life by driving innovation through data and technology as the Social Innovation Business.,

Lead PRODUCT STRATEGY aligned to industry trends (ICE to EV, BS-VI to EV) Identify value-added opportunity Drive new business opportunities with existing & potential OEMs Lead pre-sales engagement, program pitching & RFQ generation Track OEM roadmaps Required Candidate profile BE 15+yrs exp into PRODUCT STRATEGY, NEW PRODUCT DEVELOPMENT, MARKETING, BUSINESS DEVELOPMENT, OEM PROGRAM MGMT etc Exposure in Electric Vehicle, Autonomous Driving etc Hands on with latest trends Perks and benefits Excellent Perks. Send CV to cv.ch2@adonisstaff.in

Job Description The Video Perception (ViPER) team is responsible for developing cutting-edge solutions for Advanced Driver Assistance Systems (ADAS). Our team is responsible for developing end-to-end solutions by leveraging the latest advancements in the field of computer vision/deep learning. Our goal is to drive the future of autonomous driving systems by providing reliable, high-performance video perception systems. We are looking for a talented & driven engineers to join our Retrieval team within ViPER which is responsible for building high-performance systems to ingest and retrieve large-scale driving data, critical for training and validating ADAS models. You will work closely with perception, planning & feature teams to develop intelligent data selection pipelines that power machine learning workflows across various ADAS features. The ideal candidate should have experience in building large-scale data systems, efficient querying techniques along with retrieval & recommendation systems, and a strong understanding of deep learning fundamentals. You will deploy tools & services which will be used to retrieve edge-case scenarios, be responsible for developing powerful search and indexing tools, and optimize data pipelines for automating dataset curation for training & validation. Requirements Strong technical background: At least a Bachelors/Master of Engineering in Computer Science or Electrical Sciences or related areas with 4 years of industry experience in designing and implementing vision-based algorithms [prior knowledge of working with deep neural networks is a strong plus]. Skilled software engineer with experience in Python/C++ coupled with strong problem-solving skills. Passionate about solving real-world problems: Ideally worked on autonomous driving systems before. A team player: You take ownership and work with the team to deliver exceptional results. Ability to build and iterate quickly (AGILE mindset). You enjoy working in a fast-paced environment, and you are comfortable in all stages of a product development cycle. Good hands on: You like working with production grade machine learning pipelines, from dataset curation all the way till training, validation & deployment. Good communication skills: You are able to explain technical solutions clearly to all stakeholders. You have experience writing clear, concise, and detailed documentation. Skills Strong knowledge in DL (3yrs min): Computer vision (object detection, segmentation, depth estimation), Sensor fusion (camera, radar, LiDAR), Supervised & Self-supervised learning & Transfer Learning, CNNs and transformers, Real-time model deployment and optimization, Data augmentation and annotation, Scene understanding and 3D perception, Active learning and Semi-automated data annotation techniques Hands on experience in Full stack Vision/Image related projects in production (3yrs min) Data: Visualization, Data preparation, Data handling, Data analysis & deriving insights Model frameworks: Tensorflow & PyTorch Deployment: Docker, Kubernetes Cloud deployment: Azure/AWS Other skiils: Git, Linux, Cuda, OpenMP, Distributed systems Qualifications B.E/B.Tech