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What you’ll be doing:
Design and implement novel algorithms that enhance the real-to-sim quality, using state-of-the-art reconstruction and generative techniques.
Optimize the reconstruction training and rendering runtime towards speed of light.
Contribute to a large codebase, combining Python and CUDA.
Close collaboration with experienced engineering and research team members.
Contribute to NVIDIA NuRec and other core NVIDIA products and libraries.
Publish and present results in internal or external conferences and articles.
What we need to see:
Pursuing MS or PhD in Computer Science, Computer Engineering, or a related area with a focus on computer graphics, computer vision, or machine learning.
Hands-on technical knowledge on Neural Reconstruction, and Generative Models such as image and video diffusion models.
Proven experience with Python and Pytorch as well as CUDA/Slang.
Strong experience in robotic systems such as autonomous vehicles or humanoid robotics.
Good software engineering fundamentals (source control, testing/validation, containerization).
Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product- and research-focused team.
Ways to stand out from the crowd:
Strong coding architecture skills showed by contributing to large internal or open source projects.
Experience with performance analysis and optimization, particularly for GPU-accelerated workloads is a plus.
Experience with advanced CUDA development and optimization for graphics or vision applications.
History of multi-disciplinary creativity and innovation (for instance, experience with hardware + software projects in graphics or robotics).
November 29, 2025.
Please note: We will be reviewing applications on a rolling basis as they are submitted. We encourage you to apply early.
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We’re looking for a Senior Software Engineer to strengthen our Android & Embedded platform team for automotive. The team builds and maintains platform support across Android (AOSP/AAOS), Embedded Linux, and QNX, enabling multi-screen experiences, layering of 3D content with native applications, and rich multi-touch input. Our day-to-day spans large multithreaded C/C++/C#/Java codebases, deep work in the Android lifecycle and system services, GPU/CPU/IO profiling, and rendering pipelines (OpenGL/Vulkan).
You’ll collaborate across Unity, partnering with industry teams who work directly with customers and core R&D teams responsible for cross-platform support, systems architecture, libraries, and runtime optimization. Alongside engine platform work, you’ll help provide embedded support for premium automotive customers, including integrations on Automotive SoCs (e.g., NXP i.MX8, NVIDIA Drive CX), Android system apps, and production HMI and instrument-cluster experiences.
This is a one-year contract position.
What you'll be doingThis position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

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Your Responsibilities:
Development of embedded software and tools for electrical components and systems for e-bike drives, from concept to series production
Design of concepts, architectures, and specifications based on CAN bus and Bluetooth Low Energy (BLE)
Responsibility for the integration of HMI, remote controls, and displays
Interface coordination with system components, especially Battery Management Systems (BMS)
Support in the development of ride control and drive regulation systems
Creation of test specifications, reviews, and approvals within the software development process
Development of software test strategies and implementation of automated software tests, including unit, integration, and system testing
Documentation and version control of software, including code reviews
Independent work within project teams, including analysis and planning of work packages in close collaboration with hardware and frontend developers
Potential interest in taking on a team lead role
Your Profile:
Successfully completed degree in electrical engineering, communications engineering, computer engineering, information technology, mechatronics, or a comparable qualification with relevant professional experience
Experience in e-bike drive systems and related interfaces (CAN bus)
Experience with HMI, remote controls, and displays, including relevant interfaces (BLE)
Solid practical knowledge of programming languages Python and C/C++
Experience in embedded software development (real-time systems)
Familiarity with configuration, version control, documentation, and testing tools (e.g., GIT, DOXYGEN)
Experience in software design according to the V-model standard
Basic knowledge of electric drives and actuators, interfaces, and protocols
Independent working style, reliability in meeting deadlines, and strong team skills
Proficient in English, both written and spoken
What We Offer:
Competitive salary and monthly tax-free benefit
Opportunity to shape future mobility technologies in a dynamic, forward-thinking team passionate about innovation
Professional growth with potential for leadership roles
Flexible working hours to support a healthy work-life balance

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Drive the search monetization technical vision by incorporating and developing software engineering processes and standards to enhance eBay’s buying experience.
Collaborate with scientists and product managers to deploy complex yet scalable core algorithmic logic.
Create robust data pipelines and real-time monitoring and optimization algorithms.
4+ years of software design and development experience, solid foundation in computer science with strong proficiencies in data structures, functional programming, algorithms, OOPs, and Software Design
Experience in designing and operating big data processing pipelines, such as: Hadoop, Spark, Hive, ETL
3+ years of software development experience in building large scale Web Services and Backend Applications using Java, C++, Scala, and related technologies
Background or interest in mathematics or machine learning
Excellent verbal and written communication, collaboration, and influencing skills
Bachelor's degree in computer science/engineering or equivalent professional experience, with 5+ years of experience,
Masters degree in computer science/engineering or equivalent professional experience, with 3+ years of experience.

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We’re searching for an experienced Circuit Design & Analysis engineer with a background in custom circuit design & analysis, system level thermal & power analysis with a proven track record of handling challenges at scale. In this role, you’ll be working directly with product engineers, signal & power integrity engineers and physical design experts - defining best practices, driving correlation of pre-silicon simulation of thermal & power integrity to post silicon analysis and developing custom circuits that help raise the bar in implementing state-of-the-art machine learning hardware.Key job responsibilities
- Design and implement custom cells / IP.
- Develop & run characterization flows for custom cells / IP developed.
- Own integration & post-silicon qualification of IPs like PLL, PCIE, UCIE, HBM, sensors/monitors.
- Develop scripts to automate running analysis and collect reports.
- Develop test-plan and perform measurements in the lab to correlate with simulation data.
A day in the life
Depending on the state of the project, you may find yourself working on the following:- Evaluate IPs (like sensors, process monitors) from a 3rd party
- Develop an characterize custom IPs like ganged buffers, custom logic cells for specialized operations (like MACs)
- Work with designers and architects to identify pain-points and areas where custom solutions can improve PPAS
- Do post-silicon quality checks for key IP like PLLs, UCIE/PCIE, HBM
- Do post-silicon power measurements of jitter, sensor calibration, power and correlate with simulationWork/Life Balance
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
- BS + 8yrs or MS + 6yrs or PhD + 3yr in EE/CS
- Expertise on circuit level analysis using tools like SPICE / SPECTRE
- Expertise in interconnect & transistor fundamentals in deep sub-micron processes
- Understanding of ASIC Physical Design from RTL-to-GDSII
- Understanding of other sign-off activities (ir/em, physical verification, timing closure, DFT)
- 3+ years of scripting experience with Tcl, Perl or Python

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What you’ll be doing:
Design and implement novel algorithms that enhance the real-to-sim quality, using state-of-the-art reconstruction and generative techniques.
Optimize the reconstruction training and rendering runtime towards speed of light.
Contribute to a large codebase, combining Python and CUDA.
Close collaboration with experienced engineering and research team members.
Contribute to NVIDIA NuRec and other core NVIDIA products and libraries.
Publish and present results in internal or external conferences and articles.
What we need to see:
Pursuing MS or PhD in Computer Science, Computer Engineering, or a related area with a focus on computer graphics, computer vision, or machine learning.
Hands-on technical knowledge on Neural Reconstruction, and Generative Models such as image and video diffusion models.
Proven experience with Python and Pytorch as well as CUDA/Slang.
Strong experience in robotic systems such as autonomous vehicles or humanoid robotics.
Good software engineering fundamentals (source control, testing/validation, containerization).
Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product- and research-focused team.
Ways to stand out from the crowd:
Strong coding architecture skills showed by contributing to large internal or open source projects.
Experience with performance analysis and optimization, particularly for GPU-accelerated workloads is a plus.
Experience with advanced CUDA development and optimization for graphics or vision applications.
History of multi-disciplinary creativity and innovation (for instance, experience with hardware + software projects in graphics or robotics).
November 29, 2025.
Please note: We will be reviewing applications on a rolling basis as they are submitted. We encourage you to apply early.
These jobs might be a good fit