Intelliswift - An LTTS Company · 11 hours ago
Senior Software Engineer, Infrastructure Software for AI (Centralized AI Data Centers & Distributed AI-RAN Environments)
Sunnyvale, CA
Full-time
Onsite
Senior Level
5+ years expIntelliswift, an LTTS Company, is seeking experienced senior engineers passionate about innovation to shape foundational AI infrastructure software. The role involves designing and developing systems software for large-scale AI workloads on GPU platforms, focusing on Kubernetes orchestration and GPU resource management.
Big DataBusiness IntelligenceCloud ManagementEnterprise SoftwareInformation Technology
Hiring Manager
Basant Sharma
Responsibilities
Design and develop robust systems software to enable AI workloads on large-scale GPU clusters (e.g., GB200 NVL72 rack-scale systems)
Deliver critical control plane components for workload scheduling, orchestration, and resource management; build management plane for underlying hardware platforms
Create northbound APIs and interfaces for customer portals and self-service access to the infrastructure
Contribute to product requirements documents (PRDs), sprint planning, and agile program execution
Help attract, mentor, and grow top engineering talent
Exemplify and cultivate a culture of humility, bold innovation, and disciplined delivery to bring products to market
Qualification
Required
Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field
5+ years of experience in software engineering, hardware platforms, distributed systems, or infrastructure development
2+ years in technical lead roles, owning high-impact projects and leading teams
Proven hands-on experience building systems software, AI frameworks, or applied AI systems
Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related technical field
3+ years of hands-on experience in machine learning, deep learning, and software engineering
Proficiency in Python; experience with C/C++
Strong working knowledge of major AI/ML frameworks (PyTorch, TensorFlow, JAX, or similar)
Solid foundation in data structures, algorithms, and software design principles
Preferred
Master's degree in a relevant technical discipline (e.g., CS, Systems Engineering)
Direct experience with Kubernetes and container orchestration at scale
Hands-on work with GPU-accelerated systems and high-performance computing (HPC) environments
Expertise in designing scalable infrastructure for demanding AI workloads (training, fine-tuning, serving)
Familiarity with AI developer frameworks, MLOps tools, automation pipelines, and CI/CD systems
Master's or PhD in Computer Science, AI/ML, or a related discipline
Experience with Large Language Models (LLMs), Generative AI, or Computer Vision
Familiarity with distributed training frameworks and techniques (e.g., Ray, DeepSpeed, Megatron-LM)
Proven expertise optimizing models for GPU inference (e.g., TensorRT, Triton Inference Server)
Knowledge of MLOps tools and practices (Kubeflow, MLflow, etc.)
Company
Intelliswift - An LTTS Company
"Intelliswift, an LTTS Company, delivers world-class Digital Product Engineering, Data Management, Analytics & AI, and Digital Ent Solutions
1001-5000 employees
H1B Sponsorship
Intelliswift - An LTTS Company has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (29)
2024 (35)
2023 (44)
2022 (27)
2021 (38)
2020 (37)
Funding
Current Stage
Late StageTotal Funding
unknown2024-11-11Acquired
Leadership Team
Pat Patel
Founder & Executive Chairman
Recent News
Business Standard India
2024-11-12
2024-04-08
Company data provided by crunchbase