Research Staff Positions at DREAM:Lab, IISc Bangalore

Lab: DREAM:Lab, Department of Computational and Data Sciences

Institution: Indian Institute of Science (IISc), Bangalore

Start Date: Sep 1, 2026 (rolling)

Duration: 18–24 months minimum (Full-time, on-campus)

We are hiring multiple Research Staff at DREAM:Lab, Department of Computational and Data Sciences, Indian Institute of Science, Bangalore , to work on cutting-edge distributed systems and scalable AI platforms.

These full-time, on-campus roles are ideal for strong systems builders who want to contribute to research and software platforms at the intersection of:

- Agentic AI platforms and middleware
- Serverless orchestration on hybrid cloud and edge
- Quantum-classical Cloud & HPC platforms
- Accelerator-aware ML and LLM platforms
- Federated learning on heterogeneous edge accelerators
- Scalable Graph Analytics and GNNs

Our recent research includes systems for MCP-enabled agentic workflows on FaaS platforms , multi-cloud deployment of agentic workflows , characterization of FaaS workflows on public clouds , DNN performance and energy modeling on edge accelerators , and quantum-classical FaaS workflows on hybrid clouds .

About the Role

At DREAM:Lab, you will help design, build, evaluate, and deploy next-generation software platforms and middleware for emerging distributed applications. The work spans cloud data centers, edge accelerators such as Jetson and GPUs, HPC clusters, and quantum backends , with applications in domains of national and societal importance.

The projects involve close collaboration with PhD students, industry partners, and national agencies, offering exposure to both fundamental research challenges and real-world deployments.

Research Themes The positions will contribute to one or more of the following areas:

- Agentic workflow orchestration platforms for multi-cloud and serverless environments
- FaaS middleware and orchestration systems for scalable, adaptive,



and cost-efficient execution
- Cloud-edge-HPC platforms for AI, autonomous systems, and data-intensive applications
- Accelerator-aware ML systems for efficient LLM, DNN, and GNN training and inference
- Quantum-classical middleware for hybrid workflows and future computing platforms
- Federated learning and LLM routing systems across heterogeneous edge devices and accelerators
- Scalable Graph Analytics and GNNs with applications to Fintech and intelligent transportation

Application Domains You will work on systems and algorithms applied to areas such as:

- Hybrid cloud, quantum, and HPC-enabled applications
- Drones, UAVs, and autonomous systems
- Urban mobility and intelligent transportation
- Fintech analytics and blockchain platforms

Responsibilities

Selected candidates will:

- Build scalable software platforms, middleware, and distributed algorithms
- Develop and optimize prototypes for agentic workflows, FaaS platforms, and ML systems
- Evaluate LLM, GNN, and DNN workloads on cloud, edge, and accelerator hardware
- Conduct experiments on real cloud platforms, edge devices, GPU clusters, and hybrid testbeds
- Contribute to high-quality research publications in systems, cloud, edge, HPC and AI venues
- Collaborate closely with PhD students, faculty, and external partners

Past research staff from DREAM:Lab have successfully transitioned to higher studies at leading global universities.

Qualifications

We are looking for candidates with strong technical depth and a systems-building mindset.

Education

- B.E./B.Tech./ M.S./M.Tech. in Computer Science, ECE,



or related areas, preferably within the last 5 years
- Ph.D. candidates with strong research publication record are also welcome to apply as Post Docs

Experience

- 1 to 2 years of industry or research engineering experience is strongly encouraged

Technical Skills

- Strong programming skills in Python and experience working with large codebases
- Familiarity with Java, C, C++, Go, or similar systems languages is a plus
- Experience with ML frameworks such as PyTorch or TensorFlow
- Exposure to cloud computing, serverless platforms, Kubernetes, FaaS, or workflow systems
- Hands-on experience with edge accelerators, GPUs, Jetson devices, or cluster environments
- Strong Linux, scripting, debugging, automation, and systems administration skills
- Competitive programming or strong algorithmic problem-solving experience is an advantage

Position Details

- Lab: DREAM:Lab, Department of Computational and Data Sciences
- Institution: Indian Institute of Science, Bangalore
- Start Date: September 1, 2026, with rolling offers
- Duration: 18 to 24 months, or longer
- Mode: Full-time, in-person, on-campus at IISc Bangalore
- Compensation: Designation and pay as per Government of India DST norms, based on qualifications and experience

Please note that these are not part time, remote, or internship positions .

Apply

Applications will be reviewed on a rolling basis until the positions are filled.

Apply using this form: https://forms.gle/rNqJmQZtxXUftbTDA

Please share your technical skills and upload a detailed resume using the form.

Learn More

Lab website: https://cds.iisc.ac.in/faculty/simmhan/

Recent publications: https://bit.ly/3LifiR2

GitHub: https://github.com/dream-lab/

- If you are excited about building the next generation of agentic, serverless, cloud-edge, accelerator-aware, and quantum-classical systems , we would be happy to hear from you.

📌 R&D Staff in Distributed Systems, ML and Quantum (Bengaluru)
🏢 Indian Institute of Science (IISc)
📍 Bengaluru