SecurityScorecard is hiring a Senior Engineer for its Platform team to design, build, and operate scalable platform components and microservices. The role focuses on backend and infrastructure work (Node.js, TypeScript, AWS), distributed systems, CI/CD, containerization, monitoring, and production support. Requires 5+ years of professional software engineering experience; the posting states no immigration sponsorship and provides an estimated compensation range of $160,000–$185,000 (USD, year).

Lead technical strategy and implementation for DGX Cloud cluster operations, including automation, GitOps, lifecycle management, validation, repair, upgrades, observability, SLOs, and incident response. Requires 15+ years building and operating large-scale distributed systems or cloud infrastructure, deep Kubernetes and Linux experience, and strong programming skills in Go or Python. Role involves mentoring engineers and influencing cross-functional platform, infrastructure, storage, networking, and security teams.

Join NVIDIA as a Senior System Software Engineer on the Automotive Performance team to optimize system software (including Safe RTOS) and benchmark boot and runtime performance. The role involves collaborating with hardware and platform teams, benchmarking hypervisors, improving runtime and compiler performance, and contributing to profiling tools. Requires a master's degree or equivalent and a minimum of 12 years' experience in systems or software performance with strong C/C++ and experience in Linux and QNX.

Role requires designing and implementing security systems, policies, and controls for AI/HPC cluster infrastructure; leading incident response and disaster recovery; and working across engineering, platform, legal, and compliance teams. Requires 8+ years' relevant experience and strong proficiency in C/C++, Linux kernel hardening (SELinux/AppArmor), eBPF, and large-scale Linux infrastructure security.

Fleetio is hiring a Senior Software Engineer for the Actionable Intelligence team to design, build, and iterate on AI-powered product experiences across Rails and React. The role requires 5+ years of Ruby on Rails and 5+ years of React/TypeScript experience, and involves front-end development (Vite, Storybook, Tailwind), backend Rails APIs, AI integrations (LLM APIs, prompts, evaluations), observability, and collaboration with Product, Design, Data, and Customer Success.

NVIDIA is hiring a Senior Compiler Engineer - AI to design and implement learning-based compiler optimization workflows and integrate LLM systems with compiler infrastructure. The role requires 8+ years of software engineering and AI/ML experience, strong knowledge of compilers, code generation, GPU architecture, hands-on LLVM/MLIR experience, and proficiency in Python and C/C++. Locations listed include US (Redmond, Santa Clara, Austin) and remote. Base salary range listed: 184,000 USD - 287,500 USD per year.

Role involves deep debugging of multi-rack, multi-tenant clusters (scheduler, container runtime, device-plugin, RDMA/IB), prototyping Kubernetes operators and Slurm plugins, building reproducible testbeds (Helm/Ansible/Terraform), driving architecture reviews with CSPs, and producing technical collateral. Requires 10+ years in distributed systems, strong Kubernetes and Slurm expertise, and experience integrating GPUs/accelerators.

Join Twilio Segment as a Backend Software Engineer to design and build robust, scalable backend systems and APIs for a customer data platform handling large volumes of data. Required: 2+ years production coding (Go/Java/Python or similar), experience operating large-scale distributed systems on AWS, container orchestration (Kubernetes/EKS/ECS), large-scale async processing, CI/CD, and participation in on-call rotations. Desired: event streaming (Kafka/Pulsar), PostgreSQL, DynamoDB, and observability tools (Prometheus/Grafana/Datadog).

Senior (Principal) role responsible for architecting and delivering control plane, orchestration, firmware/OS lifecycle, drivers, and networking fabric software for rack-scale infrastructure. Requires 15+ years experience in systems/infrastructure engineering, practical coding in Go/C++/Rust, Kubernetes and Linux-based infrastructure, and expertise with data center networking, BMC/Redfish/IPMI, accelerators (GPUs/DPUs), and open source software.

NVIDIA is hiring a Senior Systems Software Engineer to develop features for GPU performance profiling tools (Nsight Compute). The role requires 8+ years of software engineering experience, strong C++ skills, knowledge of GPU hardware, and experience or interest in CUDA kernel programming and profiling. Responsibilities include designing features, collaborating with GPU hardware and compiler teams, and contributing to tools used by CUDA developers.

NVIDIA seeks a senior deep learning/CUDA engineer to design and implement CUDA features, runtime abstractions and tooling for scaling AI and HPC workloads across multi-GPU and multi-node systems. Requires 8+ years' experience, strong C++/Python/CUDA skills, familiarity with PyTorch/JAX/inference engines, performance benchmarking and distributed communication libraries (NCCL, MPI, UCX).

NVIDIA seeks a Senior Product Architect to define and oversee architectures for large-scale AI and HPC datacenter deployments. The role requires 12+ years of experience in datacenter-scale infrastructure, strong skills in systems architecture, networking, storage, DevOps (Python, Ansible, containers, Kubernetes), and experience with AI workloads (inference, training, RAG). Responsibilities include prototyping, integration with hardware/software/security teams, creating POCs/MVPs, and producing technical documentation and customer-facing content.

Role to research, prototype, and optimize deep learning systems at the intersection of high-level frameworks and low-level CUDA, including custom kernel development, distributed cluster-scale design, and profiling. Requires a BS/MS/PhD (or equivalent), 8+ years relevant experience, and proven skills in C++, Python, CUDA, kernel optimization, distributed computing, and deep learning (transformers). Base salary ranges provided (USD, annual).

Lead architecture and optimization of internal MDR service delivery systems: design distributed systems, integration patterns/APIs, workflows for AI agent integration, and documentation. Requires experience shipping distributed systems at scale (6+ years) and security operations context (5+ years); experience with event streaming (Kafka/Kinesis/RabbitMQ), cloud platforms (AWS/Azure/GCP), Kubernetes, CI/CD and observability.

CrowdStrike is hiring a senior Cloud Software/Automation Engineer to design, build, and deploy scalable, fault-tolerant cloud services and agentic automation using Go, Python and LLMs for the Falcon Complete managed detection and response product. Responsibilities include microservices development, CI/CD and GitOps, Kubernetes operations, data pipelines, LLM training/implementation, and collaboration with SOC analysts.

Applied agent engineering role focused on building tool-using AI systems (agents) into existing workflows. Responsibilities include designing and implementing agent infrastructure (MCP servers, stateful sub-agents, skills), integrating with systems like Slack, Jira, Salesforce, Okta, Workday, Google Workspace and AWS, setting safety and access standards, instrumentation, and collaborating with HR, Sales, Customer Success, and other functions. Requires 7+ years of engineering experience and experience shipping production systems at scale.

Ownership of end-to-end development for self-serve marketing tooling and platform capabilities (e.g., MCP integrations, AI content workflows, experimentation tooling). Requires 4+ years product engineering experience and familiarity with Next.js/Sanity front-end surface and backend services in Python/TypeScript, plus experience or strong POV on AI/LLM-augmented agentic workflows.

NVIDIA seeks a Senior Full Stack Software Engineer on the DGX Cloud team to design, develop, and operate massively distributed platforms for large GPU clusters. Responsibilities include cluster and node health monitoring, GPU resource scheduling, incident management, and working across a stack that includes React, Web Components, TypeScript, Golang, PostgreSQL, Temporal, Bazel, and Kubernetes. Requirements listed include 12+ years in a similar role, 6+ years full-stack engineering, 3+ years shipping consumer-facing products, a BS in Computer Science or equivalent, and proficiency with the listed technologies. Base salary range provided: 224,000 USD - 356,500 USD per year.

Lead architectural vision and operationalization of an enterprise compute platform and internal AI inference systems (rack-scale GPU hardware). Responsibilities include designing platform service tiers and SLAs, automated cluster lifecycles, remediation pipelines and telemetry, capacity planning, migrations of legacy workloads into Kubernetes, and building self-service APIs/Terraform providers. Requires 15+ years experience with large-scale compute/platform engineering, Kubernetes, virtualization, GPUs, IaC (Terraform/OpenTofu), and programming in Go and/or Python.

Lead development of NOC performance and functional models using AI technologies, define features for GPU memory and interconnect subsystems, analyze benchmarks and simulation/emulation results to identify optimizations, and collaborate with engineering teams. Requires Bachelor's or equivalent, 15+ years relevant experience, strong performance modeling and large-scale software development experience, proficiency in C/C++ and Python, and deep GPU architecture and memory/interconnect expertise.