75 jobs for “forward deployed engineer”
CrowdStrike · 1001–5000 people · Public
Leads a team of three data scientists building machine learning and agentic AI systems for threat detection, malware analysis and security automation. Owns technical strategy, roadmaps and production deployment while mentoring staff and partnering with security research, engineering and product teams.
AWS · Linux
CrowdStrike · 1001–5000 people · Public
Leads a team of three data scientists building machine learning and agentic AI systems for threat detection, malware analysis and security automation. Sets technical standards and strategy for ML development, deployment and monitoring, while staying hands-on with Python, big data and cloud infrastructure.
AWS · Linux
NVIDIA · Public
Design, develop and optimise GPU/CPU-accelerated numerical libraries such as DALI and nvImageCodec, with heavy focus on performance tuning, benchmarking and CUDA-based parallel algorithms. The role also involves setting technical roadmaps with partners and providing technical leadership to other library engineers.
CUDA · DALI · nvImageCodec +1
NVIDIA · Public
Hands-on compiler engineering role focused on kernel generation and computational graph optimizations for next-generation NVIDIA GPUs. You'll solve complex compilation problems for AI inference and training workloads, working with MLIR, C/C++ and Python, and partner with software, hardware and research teams on hardware/software co-design and datacenter-scale AI deployment.
MLIR · GPU · CPU +1
Helsing
Design, train and deploy reinforcement-learning controllers for robots operating in complex, unstructured real-world environments, owning the full pipeline from physics-based simulation to hardware deployment. Work spans sim-to-real transfer, domain randomisation, vision-based perception and sensor fusion, combining learned policies with classical control under tight hardware constraints.
MuJoCo · Isaac Gym · Isaac Lab +5
Helsing
Builds and benchmarks computer vision systems for scene matching, geo-registration, SLAM, visual odometry and 3D reconstruction, adapting state-of-the-art geometric deep learning to real-world conditions and constrained hardware. Works within a scene understanding and localisation team, collaborating across research, engineering and product on deployable defence AI capabilities.
Python · Rust · C++
CrowdStrike · 1001–5000 people · Public
Lead a team of data scientists working at the intersection of machine learning, large language models and cybersecurity, translating business needs into technical objectives and driving research into production ML systems. The role combines people leadership, roadmap planning and stakeholder communication with hands-on work on malware detection and threat analysis at massive scale.
AWS · Linux
CrowdStrike · 1001–5000 people · Public
Builds and operates large-scale data processing pipelines, storage systems and presentation layers for the Intelligence team, owning systems from design and prototyping through production deployment and long-term maintenance. Works fully remotely with analysts as internal customers, choosing your own tech stack across Go, Python, SQL/NoSQL and cloud.
AWS · GCP · EC2 +5
CrowdStrike · 1001–5000 people · Public
Lead a team of data scientists applying machine learning, large language models and reverse engineering to cybersecurity problems at massive scale, handling trillions of events daily. The role blends technical leadership, roadmap and stakeholder management with hands-on work on malware detection, threat analysis and AI-driven security automation.
AWS · Linux
CrowdStrike · 1001–5000 people · Public
Lead a team of data scientists working at the intersection of machine learning, large language models and cybersecurity, translating business needs into research objectives and production ML systems. The role combines technical leadership, roadmap planning and stakeholder communication with hands-on work on malware detection and threat analysis at massive scale.
AWS · Linux
NVIDIA · Public
Hands-on development of kernel generation and computational graph optimizations for next-generation NVIDIA GPUs, solving complex compilation problems for AI inference and training workloads. Works with MLIR, C/C++ and Python, partnering with software, hardware and research teams on hardware/software co-design and datacenter-scale AI deployment.
NVIDIA GPUs · MLIR · CPU +2
Helsing
Architect and scale the deep learning frameworks and distributed training infrastructure behind defence AI systems, extending PyTorch-based tooling and optimising GPU throughput. The role spans data strategy, storage and orchestration, working cross-functionally to maximise training efficiency and developer velocity.
PyTorch · JAX · TensorFlow +5
Helsing
PhD research internship tackling open problems in spatial perception and localisation within the Spatial Intelligence Team. You survey and prototype state-of-the-art methods for scene matching, SLAM/VIO and 3D reconstruction, benchmarking ideas against real-world data and compute constraints, and report findings to a Europe-distributed team.
PyTorch · NeRF · Gaussian Splatting
Helsing
Work at the intersection of machine learning and signal processing on RF data, building models that detect, classify and reason about signals in congested, contested spectrum for electronic warfare systems. Own problems end-to-end, from reading literature and prototyping on real recorded data to pushing models to edge hardware under hard latency and compute budgets, in a small research team alongside RF and hardware engineers.
ONNX · TensorRT
Helsing
Build and scale a GPU-based simulator that trains reinforcement-learning agents for air autonomy, modelling flight dynamics and sensing across thousands of parallel environments. Work spans sim-to-real transfer, domain randomisation and RL training tooling, at the intersection of AI, GPU computing and physics-based simulation, with room to grow into leadership.
CUDA · Taichi · NVIDIA Warp +3
