Bosch Group India

Applied Computer Vision Engineer- Automated Driving

Executive/Assistant Manager - Commercial Purchase (Direct Materials Buyer)

The Video Perception (ViPER) team is developing cutting-edge solutions for Advanced Driver Assistance Systems (ADAS). The role involves developing end-to-end solutions using computer vision/deep learning. The candidate will be part of the Retrieval team, building high-performance systems for ingesting and retrieving driving data. Responsibilities include developing data selection pipelines, search and indexing tools, and optimizing data pipelines for dataset curation. The ideal candidate will work closely with perception, planning & feature teams to develop intelligent data selection pipelines that power machine learning workflows across various ADAS features.

<div><h2 class="title">Company Description</h2></div><div class="wysiwyg">Bosch Global Software Technologies Private Limited&nbsp;is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.</div><div><h2 class="title">Job Description</h2></div><div class="wysiwyg" itemprop="responsibilities">Job Description&nbsp;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.&nbsp;&nbsp;We are looking for a talented &amp; 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 &amp; feature teams to develop intelligent data selection pipelines that power machine learning workflows across various ADAS features.&nbsp;&nbsp;The ideal candidate should have experience in building large-scale data systems, efficient querying techniques along with retrieval &amp; recommendation systems, and a strong understanding of deep learning fundamentals. You will deploy tools &amp; 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 &amp; validation.&nbsp;Requirements&nbsp;<ul><li>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].&nbsp;</li></ul><ul><li>Skilled software engineer with experience in Python/C++ coupled with strong problem-solving skills.&nbsp;</li></ul><ul><li>Passionate about solving real-world problems: Ideally worked on autonomous driving systems before.&nbsp;</li></ul><ul><li>A team player: You take ownership and work with the team to deliver exceptional results.&nbsp;</li></ul><ul><li>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.&nbsp;</li></ul><ul><li>Good hands on: You like working with production grade machine learning pipelines, from dataset curation all the way till training, validation &amp; deployment.&nbsp;</li></ul><ul><li>Good communication skills: You are able to explain technical solutions clearly to all stakeholders. You have experience writing clear, concise, and detailed documentation.&nbsp;&nbsp;</li></ul>Skills&nbsp;<ul><li>Strong knowledge in DL (3yrs min): Computer vision (object detection, segmentation, depth estimation), Sensor fusion (camera, radar, LiDAR), Supervised &amp; Self-supervised learning &amp; 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&nbsp;</li></ul><ul><li>Hands on experience in Full stack Vision/Image related projects in production (3yrs min)&nbsp;</li></ul><ul><li>Data: Visualization, Data preparation, Data handling, Data analysis &amp; deriving insights&nbsp;</li></ul><ul><li>Model frameworks: Tensorflow &amp; PyTorch&nbsp;</li></ul><ul><li>Deployment: Docker, Kubernetes&nbsp;</li></ul><ul><li>Cloud deployment: Azure/AWS&nbsp;</li></ul><ul><li>Other skiils: Git, Linux, Cuda, OpenMP, Distributed systems&nbsp;&nbsp;</li></ul></div><div><h2 class="title">Qualifications</h2></div><div class="wysiwyg" itemprop="qualifications">B.E/B.Tech</div><div><h2 class="title">Additional Information</h2></div><div class="wysiwyg" itemprop="incentives">4+ years</div>

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Adyen

Team Lead - Documentation

Interactive Brokers

QA Developer

Landor

Senior Reward & Analytics Partner

Senior Strategist

Senior Finance IT Manager

Well

Technical Project Manager

Scopely

Software Engineer (Java)

Senior Product Manager

Putnam Associates

Partner -- Data Strategy, Analytics & AI Practice

The Team Lead - Documentation role at Adyen involves leading a team of writers to create documentation for developers, including API documentation, SDKs, Release Notes, and integration guides. The lead will support the team's projects and professional growth, ensure a great docs experience, and help automate and optimize documentation and tooling. The role also includes partnering on strategic initiatives with the Global Team Lead and collaborating with stakeholders to understand their needs, advance business goals, and socialize the team's impact.

Adyen is a technology company that provides a single platform to accept payments anywhere in the world through any sales channel. Driven by a vision to improve customer experience, streamline processes, and ultimately increase revenue, Adyen enables businesses to process payments across online, mobile, and Point-of-Sale (POS) with over 250 payment methods in 187 transaction currencies. Over 3,500 businesses use the Adyen payment platform, including Facebook, Airbnb, Spotify, Groupon, Evernote, Booking.com, Yelp, Vodafone, Mango, Abercrombie &amp; Fitch, O’Neill, and KLM. Adyen is headquartered in Amsterdam, with offices in San Francisco, São Paulo, Singapore, London, Paris, Berlin, Stockholm, Madrid, and Boston.

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<h3>This is Adyen</h3> Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&amp;M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.&nbsp; For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. &nbsp; <h3>Team Lead - Documentation</h3> Technical writers at Adyen play a key role in connecting our external users, developers, product teams, developer advocates, and support teams. As our product and development teams expand globally, we're searching for a Documentation Team Lead to partner with the Global Documentation Team Lead. Together, you will guide a talented group of writers who are instrumental in documenting our high-impact solutions for a developer audience including: API documentation, SDKs, Release Notes, and integration guides. In this role, you will work closely with the Global Documentation Team Lead, contributing to strategic initiatives and directly managing a team focused on creating exceptional documentation for our developer community. &nbsp; <h3>What you'll do</h3> Lead a high-performing team of writers <ul> <li>Support the projects and professional growth of writers as they document complex product capabilities</li> <li>Help your team deliver a docs experience that developers will love</li> <li>Help strategize solutions to automate and optimize our docs and tooling</li> </ul> Partner on driving strategic initiatives <ul> <li>Set your team’s priorities in alignment with broader business goals</li> <li>Collaborate with the Global Team Lead on strategic initiatives for the Developer Experience and Docs teams</li> <li>Co-lead and execute Adyen’s AI developer experience strategy</li> </ul> Help build and drive collaborative engagement <ul> <li>Engage with stakeholders and collaborators in Product, Engineering, UX, Support, and other functions to understand their business needs, identify opportunities for partnership, advance business goals, and socialize your team's value and impact</li> <li>Remove blockers and improve ways of working across teams</li> </ul> &nbsp; <h3>Who you are</h3> <ul> <li>Minimum 2-3 years experience managing documentation teams, preferably in API docs</li> <li>Experience in leading documentation projects and initiatives (for example, scaling or automation solutions, or migration to new tooling or workflows)</li> <li>Able to work on multiple projects simultaneously in a fast-paced, dynamic environment</li> <li>Experience working with cross-functional leads and stakeholders, gathering support and buy-in for key initiatives&nbsp;</li> <li>Ability to effectively inspire, influence, and communicate across all levels of management</li> <li>Partner effectively with developers, product managers, and technical writers to deliver quality documentation</li> <li>Experience writing documentation for UI components, SDKs, and APIs a strong plus</li> <li>Proficiency in using Git and working with a docs-as-code workflow is helpful</li> <li>Open to some domestic and international travel</li> </ul> &nbsp; The annual base salary range for this role is $180,000 - $243,000; to learn more about our compensation philosophy, please click <a href="https://docs.google.com/document/d/11U2tgFev7p271JMQWMApZjtpJ3pGHNES7EvscXnsH3k/edit?usp=sharing">here</a>. &nbsp; Our Diversity, Equity and Inclusion commitments&nbsp; Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.&nbsp; Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! &nbsp; What’s next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. <a href="https://careers.adyen.com/how-we-hire">Learn more about our hiring process here</a>. Don’t be afraid to let us know if you need more flexibility. Adyen is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. All your information will be kept confidential according to EEO guidelines. &nbsp; This role is based out of our Chicago office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles. This role is hybrid, with 3 days per week in the Chicago office.

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

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