Principal Developer Technology Engineer working on advanced rendering (including path tracing and neural graphics) and AI in games. Responsibilities include developing, profiling and optimizing neural rendering algorithms and AI models for GPU/CPU, collaborating with AAA game developers and NVIDIA architecture/driver teams, building demos, writing whitepapers and presenting work. Requires a masters (or equivalent), 15+ years' relevant experience, strong C++ and software engineering skills, deep math (linear algebra, calculus), real-time graphics and GPU/CPU architecture expertise, and familiarity with APIs like DirectX or Vulkan. Open to travel for on-site visits and conferences.

NVIDIA is hiring a Security Research Architect to design and implement security solutions across applications, OS, drivers, and device firmware, work on hardware/software security projects, perform architectural modeling and validation, and collaborate with internal teams, customers, and partners. Requires a BSc/MS/PhD or equivalent, 4+ years' experience, OS design knowledge, and programming in Python and C/C++.

Lead technical direction for LLM inference optimization (Kimchi), improving throughput, lowering latency, and maximizing KV cache efficiency across GPU SKUs and distributed topologies. Requires 5+ years building ML systems/inference or training infrastructure, strong Python, hands-on experience with vLLM/SGLang/TensorRT-LLM, quantization fluency, distributed systems knowledge, and a measurement-first approach. Remote-first role available in multiple European countries.

Research and develop techniques to GPU-accelerate deep learning, machine learning and AI workloads; analyze and optimize complex AI and HPC algorithms on modern CPU/GPU architectures; publish and present findings and collaborate with hardware, software and research teams. Requires an advanced computational degree (or equivalent), 15+ years' relevant experience, fluency in C/C++, parallel programming experience (CUDA, OpenACC, OpenMP, MPI, pthreads), and deep knowledge of CPU/GPU architecture and low-level performance optimization.

Senior Mobile Engineer joining a cross-functional product squad to design, implement and maintain features using Kotlin Multiplatform. Responsibilities include end-to-end feature ownership, collaborating with product and design, maintaining code quality and test coverage, mentoring teammates, and working with a stack that includes Kotlin, Jetpack Compose, SwiftUI, kotlinx.coroutines, kotlinx.serialization, Ktor and SQLDelight.

Senior, hands-on Staff Product Engineer (Ruby on Rails). Remote role owning hard PRs and end-to-end product areas (billing, enterprise auth, API, dashboard, infra), responsible for performance, security, mentoring via code review, and shipping production Rails code. Fluent English and prior Stripe/billing experience required.

SearchApi seeks a remote Ruby Engineer to build and maintain web-scraping integrations and browser automation (CDP), tackle anti-bot evasion, optimize concurrency, and support production systems at scale. The role involves debugging production issues, reverse engineering protections, contributing across the stack (Ruby on Rails, PostgreSQL, Redis, Sidekiq), customer-facing support, and improving monitoring and infrastructure (Terraform, AWS, Prometheus, Grafana).

Remote role to design and implement greenfield proxy infrastructure: high-performance reverse proxies, IP rotation and session management, IP reputation tracking, geo-targeting and monitoring. Requires deep TCP/UDP and protocol knowledge (HTTP/HTTPS/SOCKS5, HTTP/2/3), Linux networking experience, prior experience building proxy or networking infrastructure, fluent English and a BSc or equivalent technical degree.

SearchApi seeks a remote Anti-Bot Engineer to research and implement anti-bot evasion, reverse engineer detection systems (Cloudflare, Akamai, DataDome, PerimeterX, etc.), optimize Playwright/Puppeteer/CDP configurations, debug TLS/protocol fingerprinting (JA3/JA4, HTTP/2, HTTP/3/QUIC), analyze network traffic, and run headless browsers reliably at scale. Fluent English and deep hands-on experience with browser internals, fingerprinting, network analysis tools, and relevant tooling (Playwright, Puppeteer, Selenium, Wireshark, Burp Suite, mitmproxy) are required.

Role involves in-depth performance characterization and analysis on large multi-GPU/multi-node clusters, studying HW/SW interactions, implementing micro-benchmarks, triaging customer performance issues, and building tools to visualize performance data. Requires M.S. or equivalent (or PhD), 3+ years of parallel programming and communication runtime experience (e.g., MPI, NCCL, UCX, NVSHMEM), proficiency in C/C++ and a scripting language (preferably Python), and familiarity with containers, cloud provisioning and schedulers (Kubernetes, SLURM, Ansible, Docker).

Role to investigate and improve GPU-to-GPU and node-to-node communication performance, design and implement communication technologies, co-design HW/SW with GPU and networking architects, build proofs-of-concept, run experiments and simulations at large GPU scales. Requirements: M.S./Ph.D. (or equivalent), 3+ years relevant experience, excellent C/C++ programming and debugging, experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC), strong Linux skills, and solid understanding of system and network architecture. Desirable: CUDA/NVIDIA GPU experience, knowledge of InfiniBand/RoCE/NVLink, deep learning frameworks (PyTorch, TensorFlow) and HPC application experience.

Role to scope, design, and implement high-performance numerical dense linear algebra software on GPUs, provide technical leadership, and work with product teams and customers. Requires a PhD or Master’s (or equivalent experience), 5+ years developing production software with CUDA and C++, strong fundamentals in finite precision arithmetic and numerical linear algebra. Locations listed: Germany, Poland, France (also remote).

Senior role to develop scalable library software and optimize high-performance parallel numerical applications across CPU and GPU (CUDA). Requires 5+ years experience, strong C/C++ and software-development skills, performance tuning, benchmarking, and collaboration across distributed teams. Python and familiarity with CI/CD and profiling tools are desirable.