Responsible for designing, building, and operating AI-based features (including LLMs, agent-driven experiences, RAG, and prompt engineering) across frontend and backend stacks. Requires 5+ years of software engineering experience, strong TypeScript/JavaScript and backend skills (Node.js/Go/Java), experience shipping AI/ML integrations in production, and familiarity with observability and telemetry systems.

Work on analyzing deep learning networks and implementing compiler optimization algorithms for AI inference across NVIDIA GPUs. Collaborate with deep learning framework and GPU architecture teams; require 3+ years relevant experience, strong C/C++ and Python skills, and experience with compiler technologies (e.g., MLIR, LLVM, XLA, Triton).

NVIDIA seeks a new college graduate (Master's/PhD or equivalent) to research, design, and optimize high-performance AI and HPC workloads on CPUs and GPUs for financial services. Responsibilities include low-level parallel programming (e.g., CUDA), profiling and eliminating bottlenecks, collaborating with hardware/software teams, and publishing results. Role emphasizes C/C++, algorithms, linear algebra, and experience improving large-scale GPU application performance; locations listed in the US with remote options.

Role for an architect/functional modeling engineer to design, develop, validate, and improve GPU architecture and baseboard component simulation models and platforms. Requires 5+ years experience, strong C/C++ and scripting skills, SystemC/TLM modeling experience, and familiarity with ML frameworks (PyTorch, TensorFlow, LangChain).

Join NVIDIA's MARS team to develop and operate exascale infrastructure supporting AI research. Responsibilities include designing distributed systems, building orchestration and automation across thousands of GPUs and petabytes of storage, collaborating with research and platform teams, and improving system reliability and performance. Requires 5+ years of experience with large-scale distributed systems and strong programming skills (C++, Python, or Go).

Lead development of new features and products, provide technical mentorship, collaborate with product and UX, and maintain a modern .NET-based stack. Tech stack includes C#, .NET Framework/Core, ASP.NET (MVC/Core), Blazor, SQL/T-SQL, Entity Framework, JavaScript/jQuery, Azure Functions, Azure/AWS, Terraform, DevOps tooling, and monitoring (New Relic). Candidates must have 10+ years development experience and experience deploying to a major cloud provider.

Lead the front-end technical roadmap for Coinbase Advanced, drive performance and low-latency improvements across web and mobile, own multi-quarter technical initiatives, mentor senior engineers, and establish scalable frontend engineering practices. Requires 8+ years of software engineering experience with deep expertise in React/React Native and experience with high-availability, low-latency systems.

Twilio is hiring a Senior Software Engineer (remote in the US) to develop Stytch’s fraud detection and prevention products, primarily working on a Device Fingerprinting product to detect bots, manual abuse, and reverse-engineering. Requires 6+ years designing, building, and operating production systems, familiarity with C/C++ and modern programming languages, and ability to work on-call and travel occasionally.

Twilio is hiring a Backend Software Engineer on the Segment CDP team to design and build scalable backend systems and APIs, improve system reliability, and collaborate cross-functionally. Required experience includes programming in Go/Java/Python, operating distributed systems on cloud infrastructure (AWS), container orchestration (Kubernetes/EKS/ECS), async processing, and shipping services via CI/CD. The role is remote (US) with some state hiring exclusions and no mandatory travel.

Remote Sr Staff Distributed Systems Engineer on the Storage team responsible for co-owning the technical vision and execution of a multi-year storage roadmap, designing tiered storage and TTL eviction strategies, optimizing ingestion and query performance at massive scale, and collaborating with product and engineering teams. Primary technologies mentioned include Go, Kafka, Redis, Postgres/MySQL, timeseries/object storage, and performance-focused systems programming (Go/C/Rust).

Work on implementing and optimizing language and multimodal model inference in NVIDIA Inference Microservices and TRT-LLM. Requires 5+ years experience, strong deep learning and inference background, performance profiling/optimization (especially GPU), and proficiency in C++ and PyTorch.

Role involves researching and developing techniques to accelerate database and data analytics workloads on modern CPU architectures (ARM, x86), performing in-depth performance analysis and optimizations, publishing findings, and influencing hardware and software design. Requires a CS-related advanced degree or equivalent experience and at least 5 years of relevant work or research experience with strong C/C++ and low-level parallel programming skills.

Research and develop techniques to GPU-accelerate AI and high-performance financial workloads, analyze and optimize complex CPU/GPU applications, and publish findings. Requires an advanced degree or equivalent, 5+ years' relevant experience, strong C/C++ and parallel programming skills (CUDA, OpenMP, MPI, etc.), deep understanding of CPU/GPU architectures and linear algebra, and experience with financial computational applications.

NVIDIA seeks a Raytracing Compiler Engineer to guide design and implementation of an LLVM-based JIT compiler for NVIDIA GPUs, develop compiler passes and optimizations for high performance and low compilation time, collaborate with global compiler/hardware/application teams, and apply modern compiler technologies. Requires 12+ years of compiler development experience, 3+ years with LLVM code generation, and strong C++ skills.

Role involves in-depth performance characterization and analysis of multi-GPU and multi-node clusters, debugging HW/SW performance issues, building benchmarking and visualization tools, and collaborating across teams. Requires experience with parallel programming and communication runtimes (MPI, NCCL, UCX, NVSHMEM), C/C++, Python, and familiarity with containers and cluster tooling.

Hudl is hiring Senior Software Engineers to build highly scalable cloud systems, act as technical leaders, and mentor others. The role emphasizes full-stack engineering, TDD/CI-CD, collaboration in Agile/Scrum teams, and experience with technologies such as AWS, TypeScript, React, GraphQL, C#, and MongoDB. The position is US-based (remote applicants accepted from listed US states) and includes a base salary range of $112,000–$187,000 USD per year.

Technical lead role responsible for designing, developing, and deploying AI/ML features for Datadog Notebooks, including agent systems, retrieval and planning strategies, prompt management, experimentation, and production-scale reliability. Requires 10+ years of relevant engineering experience and strong product and leadership orientation.

CrowdStrike is hiring an Engineer III for the NG-SIEM Global Serverless Platform (hybrid, Austin, TX). The role focuses on building and operating the region-level control plane and automation for a large-scale log ingest/search data plane (Golang development), ensuring scalability, high availability, monitoring, and production reliability. U.S. Citizen or U.S. Permanent Resident required. Base salary range listed: $120,000–$180,000/year.

Work on Pyroscope, an open-source continuous profiling database: design, build, operate, and maintain distributed systems for profile ingestion and querying; lead projects end-to-end; participate in on-call rotations; collaborate with Grafana Cloud teams and customers. Strong experience with backend development, distributed systems, cloud-native technologies (Kubernetes), and familiarity with Go and profiling/instrumentation ecosystems is expected.

Join Grafana Labs' Pyroscope backend team to design, build, operate, and maintain distributed systems for profile ingestion and queries. Work remotely (US/Canada), collaborate on cloud-scalable systems, participate in on-call rotations, mentor teammates, and contribute to roadmap and plugins integrating profiling with Grafana and Prometheus.