2+ YOEBachelor’s degree or equivalent, ~2 years software development experience, experience with large-scale distributed systems, Linux kernel internals, cloud platforms, and one or more languages (Java,C/C++,Python,JavaScript,Go).
Kubernetes, Google Cloud Functions, Linux Kernel, Java, C/C++, Python, JavaScript, Go, Docker, containerd, Vertex AI, TPU
NextClerk: Automated revenue and billing software for subscription businesses.
Pursuing or recently completed a degree in CS/data/software/IS, working knowledge of Python, familiarity with SQL/APIs/JSON, basic ML/NLP/LLM understanding, strong analytical and communication skills.
Senior Software Engineer - Platform and Infrastructure (DevEx)
San Francisco, California, United States
OnsiteFull Time
Monaco: AI-native revenue engine replacing legacy CRM and sales platforms
5+ YOE5+ years building internal developer platforms; strong AWS, Kubernetes, Terraform; experience provisioning dev environments; self-service tooling; fast learner.
Software Development Engineer (Developer Experience and Platform Tools)
Cupertino, California, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Design and implement platform qualification, test automation, CI/CD and release engineering for internal cloud compute platforms; collaborate with platform, SRE, and hardware teams.
PhD Research Intern, System Software and I/O Architecture - Fall 2026
Santa Clara or California or Champaign
$30-$94/hrHybridInternship, Full Time
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
PhD student in CE/CS/EE or related, research experience in architecture, OS, compilers or HPC, expertise in accelerated computing and I/O system software, proficiency in CUDA and cluster programming, strong research and systems-building record.
PhD Research Intern, System Software and I/O Architecture - Fall 2026
Santa Clara or Champaign or California
$30-$94/hrHybridFull Time, Internship
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
PhD student in CE/CS/EE with research experience in computer architecture, OS, compilers, HPC; systems-building, CUDA and cluster programming experience; strong publication and collaboration record.
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
12+ YOE12+ years software engineering experience, deep Windows internals and security, LLM inference and GPU acceleration experience, proficiency in C++ and Python, and experience with AI agent frameworks.
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
15+ YOE15+ years software engineering experience, deep Windows internals, LLM inference and GPU acceleration, expertise with agent frameworks, C++ and Python proficiency.
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
10+ YOE10+ years software engineering experience; deep Windows internals, sandboxing, LLM inference pipelines, GPU-accelerated computing, experience with agent frameworks, C++ and Python proficiency.
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
10+ YOE10+ years software engineering experience, Windows internals, LLM inference and GPU acceleration (CUDA, TensorRT), experience with agent frameworks, C++ and Python proficiency, and experience with sandboxing/virtualization.
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
12+ YOE12+ years software engineering experience, BS/MS/PhD in CS/CE or equivalent, deep Windows internals and security, LLM inference and GPU acceleration (CUDA, TensorRT), C++ and Python, experience with agent frameworks and sandboxing.
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
10+ YOE10+ years software engineering experience, deep Windows internals and security knowledge, LLM inference and GPU-accelerated computing experience, proficiency in C++ and Python, experience with agent frameworks and sandboxing.
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
15+ YOE3+ Mgmt15+ years software engineering experience, deep Windows internals and security, LLM inference and GPU acceleration experience, proficiency in C++ and Python, experience with agent frameworks and local model deployment.
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
15+ YOE3+ Mgmt15+ years software engineering experience, 3+ years in staff/lead roles; BS/MS/PhD or equivalent; deep Windows internals and sandboxing; LLM inference, GPU acceleration (CUDA, TensorRT); experience with agent frameworks; proficiency in C++ and Python.
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
15+ YOE15+ years software engineering experience, deep Windows internals and security, LLM inference and GPU acceleration experience, C++ and Python proficiency, experience with agent frameworks and sandboxing.
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
10+ YOE10+ years professional software engineering; 3+ years in staff/lead role; strong Windows OS internals, security, and sandboxing; experience with LLM inference, GPU acceleration, and local models; proficiency in C++ and Python; experience with AI orchestration and multi-agent frameworks.
Windows OS internals, Sandboxing, CUDA, TensorRT, LLM inference, OpenClaw, Hermes, LangChain, C++, Python
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
10+ YOE10+ years software engineering experience, 3+ years staff/lead experience preferred; BS/MS/PhD or equivalent; deep Windows internals and system security knowledge; LLM inference, CUDA and TensorRT experience; C++ and Python proficiency.