About Us:

Headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company, specializing in crafting flexible, agile, and scalable solutions that propel businesses forward.With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clients to achieve sustainable digital transformation that aligns seamlessly with their business goals.

Key Responsibilities: 

Architecture & Infrastructure

• Design, implement, and optimize end-to-end ML training workflows including infrastructure setup, orchestration, fine-tuning, deployment, and monitoring.
• Evaluate and integrate multi-cloud and single-cloud training options across AWS and other major platforms.
• Lead cluster configuration, orchestration design, environment customization, and scaling strategies.
• Compare and recommend hardware options (GPUs, TPUs, accelerators) based on performance, cost, and availability.

‍

Performance & Optimization

• Conduct performance benchmarking, hardware comparisons, and cost-performance trade-off analysis.
• Implement real-time monitoring and control systems with metrics collection, observability, and custom performance tracking.
• Optimize cost models, budget predictability, and resource utilization.

Data & Training Pipelines

• Architect and validate data pipelines with storage, persistence, and throughput optimization.
• Oversee data quality validation, pre-processing, and long-term experiment tracking.
• Support framework flexibility for diverse training techniques (supervised, unsupervised, fine-tuning, reinforcement learning).

Integration & Deployment

• Ensure seamless deployment across multi-cloud environments with security, compliance, and regional availability considerations.
• Collaborate with DevOps and MLOps teams for automation, fault tolerance, job scheduling, and orchestration testing.
• Provide technical guidance on integration with existing enterprise systems.

‍

Analysis & Recommendations

• Lead result analysis, insight generation, and actionable recommendations for training performance and user experience improvements.
• Present performance claims, benchmarking reports, and speculative decoding insights to stakeholders.

‍

B.E/Btech/M.E/MTech/M.S/MCAgraduate(preferably from a reputed college or University)

Technical Expertise

• 10+ years in architecture roles with at least 5 years in AI/ML infrastructure and large-scale training environments.
• Expert in AWS cloud services (EC2, S3, EKS, SageMaker, Batch, FSx, etc.) and familiar with Azure, GCP, and hybrid/multi-cloud setups.
• Strong knowledge of AI/ML training frameworks (PyTorch, TensorFlow, Hugging Face, DeepSpeed, Megatron, Ray, etc.).
• Proven experience with cluster orchestration tools (Kubernetes, Slurm, Ray, SageMaker, Kubeflow).
• Deep understanding of hardware architectures for AI workloads (NVIDIA, AMD, Intel Habana, TPU).

‍

Performance & Cost Management

• Demonstrated expertise in performance benchmarking, reliability testing, and training speed optimization.
• Skilled in cost modeling, budget forecasting, and cost-performance balancing.

Monitoring & Observability

• Experience with real-time monitoring tools (Prometheus, Grafana, CloudWatch) and custom metric instrumentation.
• Familiarity with network performance testing, regional load testing, and multi-region deployment strategies.

Soft Skills

• Strong problem-solving skills with an analytical mindset.
• Excellent communication skills to present technical trade-offs and strategic recommendations to executives and engineering teams.
• Ability to lead cross-functional teams and drive innovation in AI infrastructure.

‍

We Offer: 

• Opportunity to work on technical challenges with global impact. 
• Vast opportunities for self-development, including online university access and sponsored certifications. 
• Sponsored Tech Talks & Hackathons to foster innovation and learning. 
• Generous benefits package including health insurance, retirement benefits, flexible work hours, and more. 
• Supportive work environment with forums to explore passions beyond work. This role presents an exciting opportunity for a motivated individual to contribute to the development of cutting-edge solutions while advancing their career in a dynamic and collaborative environment.

‍