PANTERRA Labs — R&D Division

Research, with the maturity stage stated.

Labs is the research and development division of PANTERRA PRIVATE LIMITED. Each track carries an honest label so nobody buys a research interest as a product.

Charter

A division, not a marketing label.

PANTERRA Labs is the research and development division of PANTERRA PRIVATE LIMITED. It exists to test technology before the delivery practice sells it — building reference implementations, evaluation harnesses and internal tooling, and documenting what does not work as carefully as what does.

Every track starts as a written question with an exit condition, not a product plan.
Work is reviewed against a reference implementation, not a slide deck.
Findings that graduate become part of the delivery practice; findings that do not are documented and closed publicly.
Research runs under founder governance, with specialist contributors engaged per track.

R&D updates (1) Open positions (4)

Active research

Applied AI Lab

Evaluating retrieval architectures, agentic workflows and evaluation harnesses for enterprise data.

Active research

Automation Lab

Reference patterns for process mining, workflow orchestration and human-in-the-loop control.

Exploratory

Robotics & Autonomy

Early study of autonomy stacks, perception pipelines and industrial robotics integration.

Exploratory

Green Energy Systems

Monitoring, forecasting and optimisation software for distributed energy assets.

Watch

Advanced Materials & Devices

Tracking device and materials developments relevant to future hardware-adjacent work.

Long horizon

Semiconductor Systems

Structured study of design tooling, verification workflows and the compute supply chain.

How Labs works

Research with an exit condition.

A Labs track begins with a question, not a product plan. It runs until we can either show a working reference implementation or state clearly why the direction does not hold for our clients.

Findings that graduate become part of the delivery practice — reference architectures, evaluation harnesses, internal tooling. Findings that do not graduate are documented and closed.

Research collaborations with institutions, universities and industrial partners are welcome, particularly in autonomy, energy systems and advanced computing.

Open positions

4 vacancies open in Labs.

Each role owns a defined track with a written exit condition. These are real openings, not a talent pool.

Applied AI & Evaluation

Applied AI Research Engineer

Full-time or long-term contract Remote (India) — occasional travel to Sikar / Jaipur

Own the evaluation harness that decides whether an AI approach is fit for a client system: retrieval quality, failure modes, cost per task and regression tracking over time.

What you own

Build reproducible evaluation pipelines for retrieval, extraction and agentic workflows.
Design failure taxonomies from real client documents and processes, not public benchmarks.
Produce reference implementations the delivery practice can reuse directly.
Write up each finding, including negative results, for publication on the Labs updates page.

What we need

Production experience shipping an LLM or ML feature that real users depended on.
Strong Python or TypeScript, and comfort reading model and API documentation critically.
Ability to state clearly why a result is or is not trustworthy.

Helpful: Experience with structured document extraction · Prior work on evaluation or observability tooling

Apply for this role

Automation, Robotics & Autonomy

Automation & Robotics Research Associate

Part-time research associate (contract) Remote (India), with lab visits arranged per project

Study where industrial automation and low-cost autonomy are genuinely viable for Indian mid-market manufacturers, and prototype the parts that are.

What you own

Survey control, sensing and vision approaches against real shop-floor constraints.
Prototype instrumentation and data capture for a single production line.
Quantify cost, maintenance burden and skill requirements alongside technical feasibility.

What we need

Background in robotics, mechatronics, control systems or industrial automation.
Hands-on prototyping experience — hardware in the loop, not simulation only.
Willingness to publish conclusions that recommend against automating something.

Apply for this role

Green Energy Systems

Energy Systems Software Researcher

Contract (6 months, renewable) Remote (India)

Build the modelling and monitoring layer for distributed solar and storage installations — forecasting, yield verification and fault detection from real telemetry.

What you own

Model generation, consumption and storage behaviour from time-series telemetry.
Prototype anomaly detection for underperforming strings and inverters.
Define what an operator actually needs on a screen at 7am, and build that.

What we need

Strong time-series data engineering and analysis skills.
Familiarity with solar PV, storage or grid telemetry formats.
Comfort working from incomplete, messy field data.

Apply for this role

Advanced Computing & Semiconductor Study

Research Intern — Advanced Computing

Internship (3–6 months, stipended) Remote (India)

Support the advanced computing track: literature review, benchmark reproduction and written summaries of where high-performance and emerging compute is realistically usable.

What you own

Reproduce published benchmarks and report honestly on what does and does not replicate.
Maintain an annotated reading list for the track.
Draft update notes for review and publication.

What we need

Final-year or postgraduate student in CS, ECE or a related discipline.
Systems fundamentals and the discipline to write clearly.

Apply for this role

Applications go to info@panterra.in with the role title in the subject line. Include something you have built and are willing to discuss in technical detail — no cover letters.

Proposing a research collaboration?

Contact Labs