Woven Planet Hiring Software Engineer Perception Architecture ADAS - Apply Now

Jul 7, 2025 by Admin 79 views

Introduction

The Woven Planet is currently seeking a highly skilled and motivated Software Engineer to join their Perception Architecture team, focusing on Advanced Driver-Assistance Systems (ADAS). This role presents an exciting opportunity to contribute to the development of cutting-edge technology in the realm of autonomous driving. As a Software Engineer in this domain, you will play a pivotal role in designing, implementing, and validating the software architecture that underpins the perception system, which is a crucial component of ADAS and autonomous vehicles. Your work will directly impact the safety and reliability of these systems, making it a deeply impactful and rewarding career choice. This article delves into the specifics of this opportunity, highlighting the responsibilities, qualifications, and the overall significance of the role within Woven Planet's mission to shape the future of mobility.

About Woven Planet

Woven Planet is a subsidiary of Toyota Motor Corporation, dedicated to creating innovative mobility solutions powered by software. With a global team of experts, Woven Planet is at the forefront of developing technologies for autonomous driving, robotics, and smart cities. Their mission is to create safer, cleaner, and more efficient mobility solutions for people around the world. Joining Woven Planet means becoming part of a team that is passionate about innovation and committed to making a positive impact on society. The company's culture fosters collaboration, creativity, and continuous learning, providing an environment where engineers can thrive and push the boundaries of what's possible in the field of automotive technology. Woven Planet's commitment to excellence and its forward-thinking approach make it an ideal place for individuals looking to contribute to the next generation of mobility solutions. The company's global presence also offers opportunities for international collaboration and exposure to diverse perspectives, enriching the professional experience of its employees. Moreover, Woven Planet's strong backing from Toyota provides stability and resources, ensuring that its engineers have the tools and support they need to succeed in their endeavors.

Role Overview: Software Engineer, Perception Architecture, ADAS

The Software Engineer in the Perception Architecture team at Woven Planet will be responsible for designing, developing, and implementing software solutions for ADAS and autonomous driving systems. This role requires a deep understanding of perception algorithms, sensor fusion, and software architecture principles. The engineer will work closely with a team of talented professionals to create robust and scalable software that can handle the complexities of real-world driving scenarios. The primary focus will be on the software architecture that supports the perception system, which involves processing data from various sensors such as cameras, radar, and lidar to create a comprehensive understanding of the vehicle's surroundings. This includes developing algorithms for object detection, tracking, and classification, as well as implementing sensor fusion techniques to combine data from multiple sources. The role also involves working on the overall system design, ensuring that the perception software integrates seamlessly with other components of the autonomous driving stack. This requires a strong understanding of software engineering best practices, including modular design, test-driven development, and continuous integration. The engineer will also be responsible for validating the performance and reliability of the perception software through rigorous testing and simulation. This includes developing test cases, analyzing results, and identifying areas for improvement. The role offers a unique opportunity to contribute to the development of cutting-edge technology that has the potential to transform the future of transportation.

Key Responsibilities

As a Software Engineer in the Perception Architecture team, the key responsibilities include:

Designing and implementing software architecture for perception systems in ADAS and autonomous vehicles. This involves creating modular, scalable, and maintainable software components that can handle the complexities of real-world driving scenarios. The design process includes defining interfaces, data structures, and communication protocols between different modules, ensuring that the system can efficiently process data from various sensors and make accurate decisions. The engineer will also be responsible for documenting the architecture and ensuring that it aligns with industry best practices and standards.
Developing and optimizing perception algorithms for object detection, tracking, and classification. This includes implementing state-of-the-art algorithms for processing sensor data, such as camera images, radar signals, and lidar point clouds, to identify and track objects in the vehicle's surroundings. The engineer will also be responsible for optimizing these algorithms for performance and accuracy, ensuring that they can meet the stringent requirements of ADAS and autonomous driving systems. This may involve techniques such as code optimization, parallel processing, and hardware acceleration.
Working with sensor fusion techniques to combine data from multiple sensors. This involves developing algorithms that can effectively fuse data from different sensors, such as cameras, radar, and lidar, to create a more comprehensive and accurate understanding of the vehicle's environment. The engineer will need to consider the strengths and weaknesses of each sensor and develop strategies for combining their data in a way that minimizes errors and maximizes robustness. This may involve techniques such as Kalman filtering, Bayesian inference, and deep learning.
Collaborating with cross-functional teams to integrate perception software with other vehicle systems. This includes working closely with teams responsible for other aspects of the autonomous driving stack, such as planning, control, and localization, to ensure that the perception software integrates seamlessly with the overall system. The engineer will need to understand the interfaces and dependencies between different components and work collaboratively to resolve any issues that arise. This may involve participating in design reviews, code reviews, and integration testing.
Validating and testing perception software to ensure high performance and reliability. This includes developing test cases, conducting simulations, and analyzing results to identify areas for improvement. The engineer will be responsible for ensuring that the perception software meets the performance and safety requirements of ADAS and autonomous driving systems. This may involve techniques such as unit testing, integration testing, and system testing, as well as the use of specialized testing tools and environments.

Required Qualifications

To be considered for this role, candidates should possess the following qualifications:

Bachelor's or Master's degree in Computer Science, Robotics, or a related field. A strong academic background in these areas is essential for understanding the complex technical challenges involved in developing perception systems for ADAS and autonomous vehicles. The curriculum should include courses in algorithms, data structures, computer vision, robotics, and software engineering. A Master's degree may be preferred for candidates with less industry experience, as it typically provides a more in-depth understanding of the relevant topics.
Strong programming skills in C++ and Python. C++ is the primary programming language used in the development of high-performance perception software, while Python is often used for prototyping, scripting, and data analysis. Candidates should have a solid understanding of object-oriented programming principles and be proficient in using relevant libraries and frameworks. Experience with real-time programming and embedded systems is also highly desirable.
Experience with perception algorithms and sensor fusion techniques. This includes a deep understanding of algorithms for object detection, tracking, and classification, as well as techniques for fusing data from multiple sensors, such as cameras, radar, and lidar. Candidates should be familiar with state-of-the-art algorithms and have experience implementing and optimizing them for real-world applications. Knowledge of sensor calibration and data synchronization is also important.
Familiarity with ADAS and autonomous driving systems. Candidates should have a good understanding of the architecture and functionality of ADAS and autonomous driving systems, including the role of perception in the overall system. This includes knowledge of industry standards and regulations, as well as the safety requirements for these systems. Experience with specific ADAS features, such as lane keeping assist, adaptive cruise control, and automatic emergency braking, is also beneficial.
Excellent problem-solving and communication skills. Developing perception systems for ADAS and autonomous vehicles is a complex and challenging task that requires strong problem-solving skills. Candidates should be able to analyze complex problems, develop creative solutions, and communicate their ideas effectively to other team members. Strong communication skills are also essential for collaborating with cross-functional teams and presenting technical information to stakeholders.

Preferred Qualifications

In addition to the required qualifications, the following skills and experience are highly desirable:

Experience with deep learning frameworks such as TensorFlow or PyTorch. Deep learning has become a dominant approach in the field of perception, and experience with relevant frameworks is highly valuable. Candidates should be familiar with the concepts of neural networks, convolutional neural networks, and recurrent neural networks, and have experience training and deploying deep learning models for perception tasks. Knowledge of techniques for optimizing deep learning models for performance and efficiency is also beneficial.
Experience with robotics and autonomous systems. Experience with robotics and autonomous systems provides a broader understanding of the challenges involved in developing autonomous vehicles. Candidates should be familiar with concepts such as robot kinematics, dynamics, and control, as well as techniques for path planning and motion control. Experience with robotic operating systems (ROS) and other relevant tools is also desirable.
Experience with software development best practices, including agile development, continuous integration, and test-driven development. Following software development best practices is essential for building high-quality, reliable software. Candidates should be familiar with agile development methodologies, such as Scrum or Kanban, and have experience with continuous integration and continuous deployment (CI/CD) pipelines. Knowledge of test-driven development (TDD) principles and experience writing unit tests and integration tests are also important.
Experience with automotive software development standards such as ISO 26262. The ISO 26262 standard defines the requirements for functional safety in automotive systems, and experience with this standard is highly valuable for developing safety-critical software. Candidates should be familiar with the concepts of hazard analysis, risk assessment, and safety requirements specification, and have experience developing software that meets these requirements. Knowledge of other automotive standards, such as AUTOSAR, is also beneficial.

Benefits of Working at Woven Planet

Working at Woven Planet offers numerous benefits, including:

Competitive salary and benefits package: Woven Planet offers a competitive salary and benefits package that is designed to attract and retain top talent. This includes health insurance, retirement plans, paid time off, and other benefits that provide employees with financial security and peace of mind. The company also offers performance-based bonuses and stock options, allowing employees to share in the company's success.
Opportunity to work on cutting-edge technology: Woven Planet is at the forefront of developing advanced technologies for autonomous driving, robotics, and smart cities. Working at Woven Planet provides the opportunity to contribute to the development of these technologies and to shape the future of mobility. This is a unique opportunity for engineers to work on challenging problems and to make a real-world impact.
Collaborative and innovative work environment: Woven Planet fosters a collaborative and innovative work environment where employees are encouraged to share ideas and work together to solve complex problems. The company's culture promotes creativity, experimentation, and continuous learning, providing employees with the opportunity to grow and develop their skills. Woven Planet also encourages diversity and inclusion, creating a welcoming and supportive environment for employees from all backgrounds.
Global opportunities: As a subsidiary of Toyota Motor Corporation, Woven Planet has a global presence and offers opportunities for international collaboration and travel. This allows employees to work with colleagues from different cultures and to gain a broader perspective on the challenges and opportunities in the field of mobility. Woven Planet also offers opportunities for international assignments, allowing employees to gain valuable experience and expand their professional network.
Commitment to employee growth and development: Woven Planet is committed to providing employees with opportunities for growth and development. This includes training programs, mentorship opportunities, and opportunities to attend conferences and workshops. The company also encourages employees to pursue advanced degrees and certifications, providing financial support and time off for these activities. Woven Planet's commitment to employee growth and development ensures that its employees have the skills and knowledge they need to succeed in their careers.

How to Apply

Interested candidates are encouraged to apply for the Software Engineer, Perception Architecture, ADAS position through the Woven Planet careers website. The application process typically involves submitting a resume and cover letter, as well as completing an online application form. Candidates who meet the required qualifications may be invited to participate in phone screenings and on-site interviews. The interview process may include technical interviews, behavioral interviews, and coding exercises. Woven Planet is committed to providing a fair and transparent hiring process and will communicate with candidates throughout the process. Candidates are encouraged to highlight their relevant skills and experience in their application materials and to be prepared to discuss their qualifications in detail during the interview process. Woven Planet also encourages candidates to research the company and the role to ensure that it is a good fit for their skills and career goals.

Conclusion

The Software Engineer, Perception Architecture, ADAS role at Woven Planet offers a unique opportunity to contribute to the future of mobility. By joining the Perception Architecture team, you will play a crucial role in developing cutting-edge technology for autonomous driving systems. If you have a passion for software engineering, perception algorithms, and ADAS, this is an excellent opportunity to advance your career and make a significant impact. Woven Planet's commitment to innovation, collaboration, and employee growth makes it an ideal place to work for talented engineers who are looking to push the boundaries of what's possible in the field of automotive technology. The company's strong backing from Toyota provides stability and resources, ensuring that its engineers have the tools and support they need to succeed in their endeavors. This role is not just a job; it's an opportunity to be part of a team that is shaping the future of transportation and making a positive impact on society.