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What are the key skills and qualifications needed to thrive as an Assistant CUDA Developer, and why are they important?

To thrive as an Assistant CUDA Developer, you need strong programming skills in C/C++, a solid understanding of parallel computing concepts, and familiarity with GPU architectures, often backed by a degree in computer science or a related field. Proficiency with CUDA development tools, debugging utilities, and version control systems like Git is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for collaborating with teams and optimizing code. These skills ensure efficient development of high-performance applications and successful integration of GPU acceleration into software solutions.

What are Assistant Cuda roles and responsibilities?

An Assistant Cuda typically supports senior CUDA (Compute Unified Device Architecture) developers or teams working with NVIDIA’s parallel computing platform. Their responsibilities include assisting in developing, testing, and optimizing code written for GPUs to accelerate computing tasks, debugging CUDA applications, and maintaining documentation. They may also handle routine tasks such as performance benchmarking, code reviews, and collaborating with other team members to implement efficient GPU solutions. This role is crucial in organizations that rely on high-performance computing, scientific simulations, or AI workloads.

What is the difference between Assistant Cuda vs Assistant Data Analyst?

AspectAssistant CudaAssistant Data Analyst
Required CredentialsTypically a relevant degree in computer science or related fieldOften a degree in data science, statistics, or related field
Work EnvironmentTech companies, software development teams, AI projectsBusiness, finance, marketing, or research departments
Employer & Industry UsageUsed in tech and AI industries for supporting CUDA programming tasksCommon in data-driven industries for data processing and analysis

Assistant Cuda and Assistant Data Analyst roles share some technical background but differ mainly in focus. Assistant Cuda primarily supports GPU programming and AI development, while Assistant Data Analyst focuses on data interpretation and reporting. Both roles require relevant technical skills and are found in industries leveraging data and technology, but their daily tasks and industry applications vary significantly.

What are some common challenges faced by Assistant CUDA developers when optimizing code for GPU performance?

Assistant CUDA developers often encounter challenges such as managing memory efficiently between the host and device, ensuring proper kernel parallelization, and avoiding thread divergence. Balancing occupancy and resource usage can also be tricky, as it requires a deep understanding of how CUDA schedules and executes threads. Collaborating closely with data scientists and other engineers is essential to identify performance bottlenecks and implement effective optimizations.
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Assistant Cuda jobs near you

Software Engineer, Calibration

Woven by Toyota

Ann Arbor, MI • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago

Job description

Woven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation - expanding what "mobility" means and how it serves society.

Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we're working toward one bold goal: a world with zero accidents and enhanced well-being for all.

TEAM

An autonomous driving system typically comprises Sensing, Perception, Localization, Planning, and Control components. The World Understanding team owns responsibilities for Sensing, Perception, and Localization within Woven by Toyota for autonomous driving development. Specifically, the Sensor & Calibration sub-team, operating under the World Understanding team, focuses on Intrinsic and Extrinsic calibration of autonomous driving sensors, including Camera, LiDAR, Radar, and IMU. Our scope of work also encompasses the quality management of sensor data for post-processing activities and the operational management of calibration for our autonomous driving test vehicles.

WHO ARE WE LOOKING FOR?

The Sensor & Calibration sub-team is seeking a Software Engineer to support the development of online (dynamic) sensor calibration algorithms for our next-generation autonomous driving system. You will contribute to the design and implementation of online sensor calibration algorithms, help validate calibration quality, and assist in optimizing runtime performance within limited computational resources, ultimately enabling deployment of these solutions to millions of Toyota production vehicles. We require an individual with domain expertise in sensor calibration for autonomous driving systems, a basic understanding of autonomous driving sensor hardware such as Camera, LiDAR, Radar, or IMU, and proven experience developing algorithms and tools for sensor calibration. Furthermore, candidates who exhibit a collaborative, "giver" mindset, consistently seeking opportunities to assist colleagues while maintaining a resolute focus on delivering production-ready solutions, are highly valued.

RESPONSIBILITIES
  • Contribute to the design and implementation of next-generation online (dynamic) sensor calibration algorithms, addressing deficiencies and helping ensure solutions meet objectives for reliability and quality.
  • Implement and maintain validation pipelines that verify the online sensor calibration algorithms meet the calibration accuracy requirements specified by Toyota products.
  • Assist in optimizing sensor calibration algorithms for runtime, accuracy, and robustness, taking into account constraints imposed by limited computational resources.
  • Collaborate with vehicle engineers and operators to ensure exceptional sensor calibration quality, which is critical for optimal vehicle deployment and the enhancement of autonomous driving performance.
  • Operate within a high-velocity environment and employ rigorous agile development practices.
  • Work within a hybrid workspace model, necessitating physical presence in our Ann Arbor (Michigan, US) office three days per week.
MINIMUM QUALIFICATIONS
  • Experience in computer vision or a related field, with demonstrated expertise in topics such as: Sensor Calibration for IMU, LiDAR, Camera, or Radar, Structure-from-motion, SLAM or Localization, Sensor fusion, 3D reconstruction or Multi-view geometry
  • Proficiency in C++ and Python programming languages.
  • Practical, hands-on experience in constructing a comprehensive sensor calibration stack for autonomous driving systems.
  • Profound understanding of autonomous driving sensors, including Camera, LiDAR, Radar, and IMU.
  • Experience in developing testable and modular code to maintain a robust production environment.
  • The ability to thrive in a fast-paced environment and collaborate effectively across teams and disciplines, supported by excellent interpersonal skills.
NICE TO HAVES

  • Experience in runtime optimization specifically for Linux and UNIX-like real-time operating systems.

  • Experience with embedded CUDA development and associated tooling.

  • A proven track record of deploying Machine Learning (ML) models at scale within autonomous driving or related technological fields.

WHAT WE OFFER
We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.
Excellent health, wellness, dental and vision coverage
A rewarding 401k program
Flexible vacation policy
Family planning and care benefits

Our Commitment
We are an equal opportunity employer and value diversity.
Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.
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