Current Openings

Innovation. Sophistication. Optimization. This is our passion.

Worldwide, the Volkswagen Group has a long tradition of dramatic innovations. The Volkswagen Group with its headquarters in Wolfsburg is one of the world’s leading automobile manufacturers and the largest carmaker in Europe. The Group comprises twelve brands from seven European countries: Volkswagen Passenger Cars, Audi, SEAT, ŠKODA, Bentley, Bugatti, Lamborghini, Porsche, Ducati, Volkswagen Commercial Vehicles, Scania and MAN. 

Here in the US, we are blending German engineering with American ingenuity. Located in the heart of Silicon Valley, the Volkswagen Electronics Research Laboratory (ERL) is becoming the epicenter of vehicle electronics expertise in North America. Comprised of nine teams, the ERL works with researchers and development teams in the US, Germany and across the globe. Our mission is to develop innovations and technologies for future generations of cars, and to transfer technologies from many industries into the automotive domain. We are passionate about next generation products. It’s forward-thinking, futuristic and definitely on the cutting edge of technology. In the past 20 years we’ve not only been influencing one of the largest car makers, but also the lives of millions of people. Are you ready to join us?



Deep Learning ENGINEER

(Long Term, Multi-Year Contract)

This role will be tasked with applying machine learning/deep learning to the automotive industry. Applications could include autonomous driving, manufacturing, material design etc. This is more than a purely academic role – you will likely need to integrate the modules you build into real cars and also think about questions around testability and proving safety.

Required Skills and Experience

  • 3+ years in machine learning, 2+ years in deep learning

  • Deep Learning – experience with CNNs, RNN, LSTMs and the latest research trends

  • Machine Learning – strong fundamentals in machine learning

  • Experience with data gathering, data quality, system architecture, coding best practices

  • Programming – Python

Desired Skills and Experience

  • Big Data and cloud experience strongly preferred

  • Experience with cameras, LIDAR, IMU, GPS, other sensing modalities

  • Experience in a regulated industry – automotive, aeronautics, medical devices etc.

  • C++ & GPU Programming

  • Passion for cars or physical products

Education

  • Master of Science Degree in Engineering, Computer Science or related field

  • PhD strongly preferred

For more information, you can contact us at Coleen.Kane@vw.com


Senior Big Data ENGINEER

(Full-Time and Multi-Year Contract opportunities)

This hands-on position is responsible for helping to design and develop cutting-edge big data systems to enable the VW Group to better understand and serve our customers. This position will engage in an international engineering collaboration with the teams developing global-scale infrastructure supporting acquisition, analysis, and machine learning using data coming from future vehicle releases of the VW Group (including brands such as Volkswagen, Audi, Porsche, etc.). Products impacted by this role range from customer insights informing new services to the most advanced autonomous driving systems in the industry.

Responsibilities

  • Help design and implement key components for highly scalable, distributed data collection and analysis system built for handling petabytes of data in the cloud

  • Analyze and support requirements from machine learning specialists, focusing on the most important topics in the rapidly evolving automotive industry

  • Help move architecture and implementation through the automotive development pipeline, from research to deployment in millions of cars on the road

  • Work with engineers from other divisions contributing to this analytic system, contributing to best practices in backend infrastructure and distributed computing topics

Required Skills and Experience

  • An ability to periodically deploy systems to cloud environments such as AWS

  • Mastery of key development tools such as GIT, and familiarity with collaboration tools such as Jira and Confluence or similar tools

  • Understanding of developing machine/deep learning systems in a distributed environment

  • Conventional backend development skills with Java and common frameworks (Spring, Play)

  • Hands-on development with key technologies including Scala, Spark, and other relevant distributed computing languages, frameworks, and libraries

  • Experience with distributed databases, such as Cassandra, and familiarity with the key issues affecting their performance and reliability

  • Experience using high-throughput, distributed message queuing systems such as Kafka

  • Familiarity with operational technologies, including Docker (required), Chef, Puppet, ZooKeeper, Terraform, and Ansible (preferred)

  • Experience with the SMACK stack (Spark, Mesos, Akka, Cassandra, Kafka) as a holistic system, and the important considerations for running this system at scale

  • Overall, 3+ years of industry experience developing backend components with a recent focus on big data systems

Education

  • Bachelors degree or equivalent required

For more information, you can contact us at Coleen.Kane@vw.com


Senior Big Data devops engineer

(full-time, direct hire opportunity)

This hands-on position is responsible for helping to design, develop, deploy, and maintain cutting-edge big data systems to enable the VW Group to better understand and serve our customers. This position will work with local and international colleagues developing global-scale infrastructure supporting acquisition, analysis, and machine learning using data coming from future vehicle releases of the VW Group (including brands such as Volkswagen, Audi, Porsche, etc.). Products impacted by this role range from customer insights informing new services to the most advanced autonomous driving systems in the industry. The position will evolve prototype implementations and interfaces to enable future applications to power new mobility scenarios, potentially developing system requirements and specifications that will influence future production systems.

Responsibilities

  • Lead the DevOps efforts for a petabyte-scale data collection and machine learning infrastructure project that will power future intelligent driving systems

  • Update, deploy, and monitor systems developed by the team, proactively looking for opportunities to improve performance, reliability, and automation

  • Help move implementation through automotive industry development phases, from research to deployment supporting millions of cars on the road

  • Analyze and support DevOps requirements from infrastructure developers and machine learning specialists, focusing on the most important topics in the rapidly evolving automotive industry

  • Oversee day-to-day usage and provisioning of cloud resources, both in terms of fixed resource needs, as well as helping build systems for dynamic scaling based on project needs

Required Skills and Experience

  • Experience with key DevOps technologies including Docker, as well as DevOps experience in AWS, including CloudFormation

  • Broad skills and experience in deploying, debugging, and managing systems in cloud environments such as AWS

  • Ability to build and maintain continuous integration (CI) and continuous deployment (CD) systems for complex, distributed applications, using tools like Jenkins

  • Experience diagnosing and debugging applications in complex, distributed, heterogeneous computing environments

  • Mastery of key development tools such as GIT, and familiarity with collaboration tools such as Jira and Confluence or similar tools

  • Overall, 4+ years of industry experience working with cloud technologies and handling DevOps functions for complex systems

  • Bachelors degree or equivalent required.

Desired Skills and Experience

  • Familiarity with AWS CodePipeline, AWS CodeDeploy, and AWS CodeCommit CI/CD services

  • Hands-on development with relevant distributed computing languages, frameworks, and libraries

  • Experience with highly-scalable and distributed databases and the key issues affecting their performance and reliability

  • Experience or understanding of developing machine/deep learning systems in a distributed

    environment

  • Conventional backend development experience with Java and common frameworks (Spring, Play)

For more information, you can contact us at Coleen.Kane@vw.com


Senior infotainment engineer

(Long-term, multi-year contract)

This open position is part of a team that focuses on the series development support of electronic systems with a particular relevance to the US and Canadian markets. People most suited for this position are able to derive technical systems from market-driven ideas, assertively work with supplier building trust and finding common ground solutions, and work well in a multi-disciplined environment.

Travel is estimated to be 15-20%

Responsibilities

  • Navigation function test engineer for future brand infotainment platforms

  • Regular interaction with international partners (internal and external)

  • Partner with VW Group development department for test, launch and series support of electronic car systems

  • Work with suppliers of automobile and testing electronics hardware and software

  • Advocate product improvement ideas

  • Identify and highlight to stakeholders new technology/trends that would advance the field

  • System and concept validation

  • Create and update test procedures, plans, and routes in order to efficiently perform laboratory and test drives with a focus on North American market specifications

  • Test execution and coordination - lab and field tests

  • Communicate test contents and results to VW Group using advanced equipment and standardized systems for error reporting, prepare regular project status reports

  • Establish and maintain an error reporting database, be aware of objective quality results and strive to improve future infotainment products

  • Error and Bug-Fix verification

  • Electronics test base in US for VW Group

  • Ensure functionality of test setups (systems and vehicles), maintain and operate infotainment test-bench systems

  • Prepare vehicles for test drives

  • Build-up, package, and integrate new prototypes into cars

  • System and error analysis

  • Pre-analyze system behavior in error situations

  • Derive reproducibility

  • Cluster and categorize error patterns

  • Use testing, logging and analysis tools

Required Skills and Experience

  • Embedded and integrated automotive systems, system level thinking

  • Knowledge of automotive navigation systems including routing, map database/handling, POI's, HMI

  • Ability to interpret technical specifications

  • Excellent oral and written communications skills

  • Excellent interpersonal and organizational skills

  • Motivated team player, with positive attitude and strong work ethic

  • Experience 5+ years

  • Automotive electronics knowledge (4-5 years exp.)

  • Navigation functions test experience (3 years) either with OEM or Tier 1 supplier

Education

  • Bachelor's Degree (BSCS preferred)

For more information, you can contact us at Coleen.Kane@vw.com


Senior Systems Engineer

(Long-term, multi-year contract)

This role will be involved primarily in development and pre-development projects at the lab. You will come up with product requirements which involves a lot of driving to come up with requirements for self-driving car algorithms. You’ll work with teams of engineers to come up with system and module requirements and manage the execution of these projects. You could also be responsible for testing and managing the logistics for your project.

Responsibilities

  • Develop requirements for North America specific driver assistance systems functions

  • Design test procedures and organize test drives throughout US and Canada

  • Analyze test results, determine root cause, and report bugs in a timely manner in the proper format

  • Establish milestones, monitor progress and report status regularly and accurately

  • Create and maintain supporting documents and presentations as necessary

  • Identify new features for future vehicle models and conduct competitor benchmarks

  • Manage logistics that include (but are not limited to) vehicle transport, hardware shipment, travel etc.

  • Other ERL activities including exploration of new innovations and capture of intellectual property

Required Skills and Experience

  • Strong programming skills, strong IT background

  • Product Definition

    • Comfortable forming and articulating the big picture on where an industry is headed and creating product roadmaps

    • Prior experience defining a highly technical product as a systems engineer or equivalent

    • Prior experience with V-model Systems engineering

    • Adept at diving deep into the weeds with engineers while keeping the product vision in mind

    • Ability to plan/review architectures, technical designs, test strategies, test cases etc.

  • Project Management

    • Usual PM stuff - manage timelines, budgets, resource planning, risk etc.

  • Technical Depth

    • Prior experience with robotics, unmanned systems, control systems, or camera/sensor based perception

    • Be highly technical. Familiarity with data structures and algorithms, machine learning and math are required

  • Leadership

    • Capable of leading by influence, not authority

    • Capable of getting people across levels of an organization aligned behind a common vision

    • Effective public speaker – comfortable presenting complex technical information in front of technical and non-technical audiences at all levels of the organization

  • Experience gathering and organizing requirements and writing functional specifications

  • Experience running multiple projects simultaneously

  • Experience presenting to the press, government officials etc.

  • Experience with processing large amounts of data on clusters in the cloud, GPU clusters etc.

  • Experience in a regulated industries such as automotive, aerospace, medical devices etc.

  • 8+ years in machine learning, 2+ years in deep learning

Education

  • BSc Computer Science

  • MSc, PhD (desired)

For more information, you can contact us at Coleen.Kane@vw.com


Speech Backend Engineer

(Long term, multi-year contract)

This position will be responsible for creating cutting edge speech and conversational A.I. interfaces to bring new connected-car functionality to the automotive market. The position gives the opportunity to develop production implementations of conversational agents for front-ends like Amazon Alexa, Google Home and Facebook Messenger chatbots for VW Group brands.

Responsibilities

  • Investigate and develop technical concepts and solutions for new generation of speech services enabling voice control of connected-car features

  • Design, develop, and maintain NLU agents and Dialog Managers, with particular attention to scalability

  • Out-of-the-box thinking by adding to the existing infotainment ecosystem

Required Skills and Experience

  • 5+ years of full-stack software product development experience

  • 3+ years of experience implementing online service APIs

  • Experience developing and/or architecting speech front-ends for Amazon Alexa, Google Home and related products

  • Proficient in at least one of the following programming languages: Python, Java, C++

  • Experience developing one or more components of a speech processing pipeline (ASR, NLU and/or DM)

  • Experience designing, implementing, and maintaining RESTful services

  • Familiar with development and deployment on cloud systems as AWS (using DynamoDB, ElastiCache, etc.)

  • Experience with optimal integration of internal/proprietary, third party, and open source technologies to solve complex problems in a customer-centric manner

  • Proficiency in Linux

  • Familiarity with development tools (git, Jira, Confluence, etc.)

  • Familiar with the design & analysis of computer algorithms and data structures

  • advanced knowledge of networking and distributed systems

Desired Skills and Experience

  • Experience building embedded speech modules

  • Experience with speech application frameworks like Google Dialogflow, Amazon Lex

  • Experience in implementing microservices and back-end architectures in highly modular deployments

  • Experience in a collaborative and interdisciplinary research environment

  • Familiarity with mobile development on Android and iOS

Education

  • Bachelor's Degree in Computer Science, EE, ME Engineering or equivalent

  • MS preferred

For more information, you can contact us at Coleen.Kane@vw.com


Technical Product Manager Senior Systems Engineer

(Long term, multi-year contract)

VWGoA is launching increasingly sophisticated Level 2 autonomous features in our lines of cars. A critical component in these features is the camera module for perception. At the ERL, we develop this module in collaboration with our colleagues in Germany and other third party suppliers who supply the camera hardware and software. Your role will be to aid with the definition of camera features and move forward the successful delivery of one or more of these perception features into our cars.

Responsibilities

  • Deliver perception modules on time, budget and quality for Level 2 driving functions and other projects as defined

  • Have a keen understanding of the end-customer function and the technical architecture behind it

  • Defining and documenting requirements for the perception module, with a specific focus on the US specific requirements and will define the end to end test strategy and tooling required. This will include the defining and supervising of test cases

  • Deep understanding of existing use processes and tools and the ability to share your thoughts and ideas on how to improve them

  • Handle project execution, budget, reporting and communication

  • Participate in test drives (Audi, VW, Porsche) to understand system performance in our various brands

  • Build positive relationships with project partners in Audi/VW of America and Audi/VW Germany

Required Skills and Experience

  • 2+ years in computer vision and/or machine learning

  • 3+ years in software development

  • Strong knowledge of computer vision algorithms (camera optics, calibration, object detection, classification, etc.)

  • Familiar with the typical issues related to building camera-based perception systems

  • Strong system design abilities and documented software engineering experience

  • Project management and process skills are second nature to you

  • Python, C/C++ and write good clean code.

  • Excellent oral and written communication skills; excellent presentation skills.

Education

  • Bachelor's degree in computer science/electrical engineering or equivalent

  • Master's degree or PhD is preferred

Travel

  • Up to 20% domestically and possibly internationally

For more information, you can contact us at Coleen.Kane@vw.com

We are proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. For more information about your rights as an applicant see: Equal Employment Opportunity Commission