Latest National Security Jobs

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Senior Solutions Architect – Large Scale Neural Networks Inference

Lead technical strategy for AI inference deployments across EMEA, working closely with AI-native enterprises and frontier labs to optimize large-scale neural network inference on NVIDIA's platform. Architect high-performance inference pipelines using frameworks like TensorRT-LLM, vLLM, and SGLang, and translate real-world deployment challenges into product improvements. Focus on solving critical issues around latency, efficiency, memory utilization, and GPU cluster performance.

NVIDIA PLN 292,500 – PLN 650,000 pa
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Senior Solutions Architect – Large Scale Neural Networks Inference

This role involves leading AI inference strategy for major EMEA clients, focusing on optimizing large-scale neural network deployments. You'll architect high-performance inference pipelines using NVIDIA's latest technologies, solve critical challenges in latency, efficiency, and scalability, and translate real-world deployment insights into product improvements. The position bridges technical leadership, customer engagement, and product development within NVIDIA's AI ecosystem.

NVIDIA PLN 292,500 – PLN 650,000 pa
W

Feature Owner, ADAS

As a Product Feature Owner for ADAS, you will take end-to-end responsibility for specific ADAS functionalities, ensuring they meet OEM requirements and align with internal capabilities. You will collaborate closely with OEMs, product teams, and engineering teams to define feature scope, set performance targets, and ensure compliance with industry standards.

Wayve London, United Kingdom
On-site Permanent
W

Machine Learning Engineer, ADAS

Train and improve computer vision and 3D perception models for ADAS systems, working across the full ML lifecycle from data to deployment. Build scalable data pipelines, including auto-labelling and 3D reconstruction, to enhance model performance. Focus on real-world impact with a balance of online (in-car) and offline (data generation) work in a fast-paced, product-driven environment.

Wayve London, United Kingdom
Hybrid Permanent
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Senior Solutions Architect – Large Scale Neural Networks Inference

Lead the technical strategy for large-scale AI inference deployments with EMEA-based AI-native customers, from proof of concept through to production. Architect and optimize high-performance inference pipelines using NVIDIA's stack, including TensorRT-LLM and Dynamo, while translating real-world deployment challenges into product feedback. Collaborate across NVIDIA teams and customer organizations to drive scalable, efficient AI inference solutions addressing latency, cost, and GPU utilization.

NVIDIA PLN 292,500 – PLN 650,000 pa
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Senior Solutions Architect – Large Scale AI Inference

This role involves architecting and optimizing large-scale AI inference solutions on multi-node GPU clusters, focusing on advanced techniques like Mixture-of-Experts (MoE) serving, quantization, speculative decoding, and interconnect-aware scheduling. The Senior Solutions Architect will work closely with leading AI companies and NVIDIA's product teams to drive performance, efficiency, and adoption of NVIDIA's inference stack. Responsibilities include technical leadership, customer engagement, and community building through workshops and reference architectures.

NVIDIA PLN 292,500 – PLN 507,000 pa
Remote Permanent
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Senior Solutions Architect, Higher Education and Research - Open Models and LLM

This role involves partnering with academic and research institutions to advance AI and HPC workloads using NVIDIA's accelerated computing platform. The Solutions Architect will guide researchers in integrating NVIDIA technologies into large-scale projects, particularly around large language models and open models. Responsibilities include hands-on technical engagement, driving research collaborations, delivering training, and translating research needs into product feedback for engineering teams.

NVIDIA Cambridge, United Kingdom
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Senior Solutions Architect, Higher Education and Research - Open Models and LLM

This role involves partnering with academic and research institutions to advance AI and HPC initiatives using NVIDIA's accelerated computing platforms. The Solutions Architect will guide researchers in integrating NVIDIA technologies into large-scale AI projects, particularly around LLMs and open models, while contributing to joint research and technical content. Responsibilities include hands-on training, prototyping solutions, and bridging research needs with product development through direct feedback to engineering teams.

NVIDIA Reading, United Kingdom
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Senior Solutions Architect, Higher Education and Research

Act as a trusted technical advisor to academic and research institutions, driving adoption of NVIDIA's accelerated computing and AI technologies. Collaborate with researchers to integrate NVIDIA frameworks into large-scale projects, deliver training and workshops, and translate research needs into prototypical solutions. Focus on multimodal and physical AI, with deep engagement in GPU-accelerated computing and joint research initiatives.

NVIDIA Reading, United Kingdom
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Senior Compiler Engineer

Design and optimize compiler software for NVIDIA's Grace CPUs, focusing on performance-critical AI and HPC workloads. Collaborate with global teams and upstream open-source communities to enhance the GNU Toolchain. Contribute to next-generation CPU architecture development and compiler infrastructure improvements.

NVIDIA
On-site Permanent
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Senior Solutions Architect, Higher Education and Research - Open Models and LLM

This role involves partnering with academic and research institutions to advance AI and HPC initiatives using NVIDIA's accelerated computing platforms. The Solutions Architect will guide researchers in integrating NVIDIA technologies into large-scale projects, particularly around large language models and open models. Responsibilities include technical advisory, hands-on training, prototyping, and translating research needs into engineering feedback.

NVIDIA United Kingdom
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Senior Solutions Architect, Higher Education and Research

This role involves partnering with academic and research institutions to advance the use of NVIDIA's accelerated computing and AI technologies. The Solutions Architect will guide researchers in integrating NVIDIA's software stack and hardware platforms into high-impact scientific projects, deliver technical training, and translate research needs into product feedback. The position requires deep expertise in multimodal AI, robotics, and large-scale GPU systems, with a strong emphasis on collaboration, prototyping, and thought leadership in the research community.

NVIDIA United Kingdom
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Senior CPU Compiler Performance Engineer

Design and optimize compiler technologies for NVIDIA's CPUs, focusing on hardware-software co-design to enhance performance for AI and high-performance computing workloads. Collaborate with distributed teams and open-source communities to develop advanced compiler features and contribute to next-generation compute platforms. Analyze real-world workloads to drive improvements in both compiler toolchains and future CPU architectures.

NVIDIA Cambridge, United Kingdom
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Senior CPU Compiler Performance Engineer

This role involves developing high-performance CPU compilers for NVIDIA's next-generation computing platforms, with a focus on AI and HPC workloads. You'll work on hardware-software co-design, optimising compiler toolchains for NVIDIA CPUs like Grace, and contributing to open-source projects such as LLVM and GCC. Collaboration with pre-silicon teams and upstream communities is central to improving performance across data centres and supercomputing environments.

NVIDIA
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Senior CPU Compiler Performance Engineer

This role involves developing and optimizing compiler software for NVIDIA's CPUs, with a focus on performance in AI and high-performance computing workloads. You'll work on hardware-software co-design, contribute to open-source compiler projects like LLVM or GCC, and collaborate with distributed teams to improve compiler toolchains. The position is central to advancing NVIDIA's next-generation computing platforms in data centers and supercomputing environments.

NVIDIA