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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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This 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 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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In this role, you will:
Drive the operational launch and execution of new strategic initiatives in the Collectibles space, ensuring seamless coordination across product, operations, and marketing teams.
Accelerate adoption and performance of innovative programs, identifying opportunities to improve efficiency, scalability, and impact.
Partner with senior leaders to prepare strategy updates, business cases, and stakeholder communications, driving alignment across the organization.
Contribute to future growth projects, from pilot design through to rollout, building repeatable frameworks that deliver long-term business results.
Leverage analytics and market insights to guide decision-making, track performance, and measure impact.
We are looking for someone who:
Has 4+ years of experience in top-tier management consulting or in e-commerce with a strong focus on strategy and cross-functional program leadership.
Thrives in a fast-paced, strongly growing environment, with the ability to translate strategy into execution.
Demonstrates strong project management skills, balancing multiple initiatives and stakeholder groups effectively.
Possesses excellent communication skills, creating impactful narratives for both executive and cross-functional audiences.
Brings a structured, problem-solving mindset with a bias for action and tangible results.
Is fluent in English (German a strong plus).

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We are looking for exceptional Engineers, who take pride in creating simple solutions to apparently-complex problems. Our Engineering tasks typically involve at least one of the following:
Building a pipeline that processes up to billions of items; frequently employing ML models on these datasets
Creating services that provide Search or other Information Retrieval capabilities at low latency on datasets of hundreds of millions of items
Crafting sound API design and driving integration between our Data layers and Customer-facing applications and components
Designing and running A/B tests in Production experiences in order to vet and measure the impact of any new or improved functionality
Design, deliver, and maintain significant features in data pipelines, ML processing, and / or service infrastructure
Optimize software performance to achieve the required throughput and / or latency
Work with your manager, peers, and Product Managers to scope projects and features
Come up with a sound technical strategy, taking into consideration the project goals, timelines, and expected impact
Take point on some cross-team efforts, taking ownership of a business problem and ensuring the different teams are in sync and working towards a coherent technical solution
Take active part in knowledge sharing across the organization - both teaching and learning from others
B.Sc. or M.Sc. in Computer Science or an equivalent professional experience
7+ years of software design and development experience, tackling non-trivial problems in backend services and / or data pipelines
Full proficiency in Python; additional hands-on experience with Java is a plus!
Solid foundation in Computer Science with strong proficiencies in Data Structures, Algorithms, Object-Oriented Programming, and Software Design
Experience in designing and operating Big Data processing pipelines, such as: Hadoop, Spark, Hive
Track record of impactful publications and/or patents in machine learning or related areas.
Contributions to open-source ML tools or frameworks.
Experience with modern large language models, graph-based ML, or knowledge graph construction.
Strong presence in scientific communities through talks, panels, or organizing roles.

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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.
These jobs might be a good fit