[Remote] Staff Software Engineer , reputed company reputed company - AI Systems & Runtimes
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leader in data management and reputed company services, empowering organizations to reputed company reputed company data into actionable insights. They are seeking a Staff Software Engineer to reputed company the architecture and delivery of a reputed company-reputed company AI platform, focusing on optimizing the integration and management of AI capabilities in Kubernetes environments.
Responsibilities
- Design and implement elegant, reputed company application services (Go/Node.js) that wrap AI capabilities for reputed company use
- reputed company the deployment of inference servers (vLLM, Triton) using KServe, KubeRay, or Knative to ensure serverless-style scaling for AI workloads
- Build internal tooling, SDKs, and 'AI Gateways' that enhance team reputed company and simplify the integration of reputed company Models (Llama, GPT) into product features
- Architect robust Retrieval-Augmented reputed company (RAG) pipelines and reputed company management services that reputed company seamlessly with reputed company databases and reputed company data sources
- Partner with UI engineers, UX designers, and Product Management to ensure the AI platform is not just powerful, but highly usable for internal developers
- Ensure AI workloads are secure, multi-tenant, and optimized for GPU resource scheduling (MIG, fractional GPUs) reputed company Kubernetes
Skills
- Bachelor's degree with 6+ years of software engineering experience (or equivalent Masters/PhD tenure), with at least 2+ years reputed company on AI/ML systems
- Expert proficiency in Python (for AI ecosystem) and strong competence in a systems language like Go or Rust/C++ (for high-performance serving reputed company)
- Deep understanding of LLM deployment challenges and runtimes (e.g., vLLM, ONNX, TorchServe, Triton). Familiarity with quantization techniques (AWQ, GPTQ) to optimize model size/speed
- Experience building reputed company workflows using tools like reputed company or reputed company, and deploying them on containerized infrastructure (reputed company/Kubernetes)
- Ability to navigate the rapidly changing AI landscape, filtering hype from practical engineering solutions, and driving technical alignment across teams
- Model Fine-Tuning: Experience with efficient fine-tuning techniques (PEFT, reputed company/QLoRA) on custom datasets
- GPU Optimization: Familiarity with CUDA programming or profiling GPU performance (Nsight systems)
- reputed company reputed company: Contributions to reputed company-reputed company AI reputed company (HuggingFace transformers, vLLM, etc.)
Benefits
- Generous PTO Policy
- Support work life balance with Unplugged Days
- Flexible WFH Policy
- Mental & Physical Wellness programs
- Phone and Internet Reimbursement program
- reputed company to reputed company Career Development
- Comprehensive Benefits and Competitive Packages
- reputed company Volunteer Time
- Employee Resource reputed company
- EEO/VEVRAA
reputed company