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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

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The Impact You’ll Make in this Role
Here, you will make an impact by:
Your Skills and Expertise
To set you up for success in this role from day one, 3M is looking for candidates who meet following minimum requirements:
Additional knowledge / nice-to-have skills / preferred qualifications that could help you succeed even further in this role include:
Job specifics:
Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
Please access the linked document by clicking select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms.

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What you will be doing:
Develop and optimize scalable high-performance cryptographic primitives, algorithms, and building blocks on the latest GPU hardware architectures
Emphasize robust long term software architectures and designs that effectively use many generations of hardware
Work closely with internal(product management, engineering) and external partners to understand feature and performance requirements and deliver timely cuPQC releases.
What we need to see:
PhD or MSc’s degree in Applied Mathematics, Computer Science, or related science or engineering field is preferred (or equivalent experience).
5+ years of experience designing and developing software for cryptography in low latency or high throughput environments
Strong mathematical foundations.
Advanced C++ skills, including modern design paradigms (e.g. template meta-programming, SFINAE, RAII, constexpr, etc).
Strong collaboration, communication, and documentation habits.
Ways to stand out from the crowd:
Experience developing libraries consumed by many users.
Experience with CUDA C++, and GPU computing.
Programming skills with contemporary automation setups for both building software (e.g. cmake) as well as testing (e.g. CI/CD, sanitizers).
Strong understanding of mathematical foundations and algorithms used in cryptography, including but not limited to finite field arithmetic, lattice-based cryptography, and cryptographic hash functions.

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NVIDIA is searching for an outstanding SA with a focus on embedded systems and AI. Your primary responsibilities will be to partner with sales and support the customer technical engagement for NVIDIA’s Jetson platform. You will be working cross functionally with our organizations as well as our partner ecosystem. You should be comfortable working in a dynamic environment and have proven expertise with supporting embedded applications. You will emphasize on your interpersonal skills and your technical knowledge to provide support for our embedded GPU AI products. Excellent communication and interpersonal skills and the ability to work independently are key success factors. Experience with DL is a plus, as well as the aspiration the learn and develop new skills.
What you’ll be doing:
Engage customers and develop a keen understanding of their challenges, objectives, and technical needs – and help to define highly valued solutions that meet these needs
Be the trusted advisor for our customers, help them with our Jetson SDK and edge AI inference supporting our sales partners and customers
Work closely with the NVIDIA applications and engineering team to ensure customers are successful in developing their embedded systems, answer their questions directly, via email, and on the Nvidia developer forum
Actively establish relationships with our customer’s engineers, management and architects at focus accounts
Provide onsite support to guide our customers through firmware, BSP and application software development, and with deep learning inference
Consult with customers in whiteboarding sessions to propose technical solutions, demonstrate capabilities, build proof of concepts and application demonstrations
Provide technical and sales training to ecosystem and channel partners
Establish trusted relationships and communication channels with internal teams
What we need to see:
BS or MS in Electrical Engineering or Computer Science
6+ years of work-related experience in a high-tech electronics industry in an embedded design role or technical customer support role
C, C++, and Python coding, Linux, embedded SW and embedded application expertise
Capability of working in a rapidly changing environment without losing focus
Ability to multitask effectively in a dynamic environment
Strong analytical, problem-solving skills, time-management, and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects
Expert written and oral communications skills in English with the ability to effectively collaborate with management and engineering
Ways to stand out from the crowd:
NVIDIA GPU development background
Deep Learning and/or AI expertise
Experience with gStreamer, ROS and/or OpenCV

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The Impact You’ll Make in this Role
Here, you will make an impact by:
Your Skills and Expertise
To set you up for success in this role from day one, 3M is looking for candidates who meet following minimum requirements:
Additional qualifications that could help you succeed even further in this role include:
Job specifics:
Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
Please access the linked document by clicking select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms.

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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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We’re now looking for a driven
Your Responsibilities:
Development of analog and digital circuits for electrical components and systems for e-bike drives, from concept to series production
Design of PCB layouts with consideration of cost, space constraints, manufacturability, and EMC requirements
Preparation of manufacturing data for PCB production and support during the manufacturing process
Assembly, commissioning, and testing of prototypes
Low-level programming for the creation of test software
System design of e-bike drive systems (motor, BMS/battery, sensors)
Support and development of peripheral components (cable harness, HMI, remote control, and display)
Independent development and implementation of testing methods and plans within development projects, covering both hardware and embedded software, with the goal of product industrialization
Autonomous work within the project team, including analysis and planning of work packages in close coordination and collaboration with software and frontend developers
Potential interest in taking on a team leadership 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 the development and testing of e-bike drive systems and power electronics, including relevant interfaces such as CAN 2.0
Expertise in developing electronic hardware and software for controlling and regulating drive technology in e-bike systems, in compliance with current standards (EMC, functional safety, DIN EN 15194)
Proficient in using EDA software such as Altium Designer, circuit simulation tools (e.g., SPICE); experience with SolidWorks is a plus
Excellent and practical knowledge in circuit design, electronics layout, drive technology, and power electronics
Committed, assertive, team-oriented, and confident in working within an intercultural corporate environment
Proficient in MS Office (Word, Excel, PowerPoint); experience with PDM systems
Fluent in both German and English, spoken and written
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

Share
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