About General Autonomy

General Autonomy is building the next generation of intelligent autonomous ground robots — including quadrupeds, humanoids and UGVs — together with the actuators, electronics, AI and electromechanical systems that power them.

Unlike most robotics’ companies, we build across the entire technology stack in-house. Around 90% of the company is engineering, working across five core disciplines: mechanical and actuator design, electronics, controls, robot learning, and deployment. Our teams work on locomotion, perception, navigation, reinforcement learning, edge AI, embedded systems, actuators, motor controllers, precision gearboxes, rugged electronics and manufacturing.

We believe tightly integrating hardware and software is essential to building robots that can operate reliably in real-world and demanding environments.

Our flagship quadruped, PARAM, is designed for reconnaissance, logistics, surveillance and other demanding field operations. Our humanoid platform, ATOM, is being developed for dexterous and remote tasks in challenging environments. Alongside these platforms, we are also building UGVs and investing in indigenous actuators, electronics and manufacturing capabilities to strengthen the domestic robotics ecosystem.

General Autonomy was founded by IIT Kanpur alumni Bhanu Singh, CTO, and Farid Ahsan, CEO, who previously built and scaled ShareChat and Moj. The company has raised over US$20 million from leading venture investors.

The Role

This is a senior hands-on individual contributor role, with leverage to evolving automation systems. . You will establish how product quality and reliability are defined, measured and improved while personally executing the work: planning tests, analyzing failures, leading root cause investigations, reviewing design and process risks, and closing issues with engineering, suppliers and manufacturing.

The role suits an experienced skilled who wants to remain technically close to the product and is motivated by building from scratch. You should be comfortable moving between component-level investigation and system-level decisions on reliability targets, release readiness and the quality operating model.

What You Will Own

Quality and reliability operating foundation

- Create lightweight systems for nonconformance, MRB, change control, traceability, test evidence, calibration and quality records as the organization scales.
- Partner with the supply chain on supplier qualification, audits, incoming quality, corrective actions and supplier capability improvement.
- Define a focused set of metrics and review routines that make product risk,



failure recurrence and closure effectiveness visible.

Product reliability and validation

- Define practical reliability goals and verification plans for systems, subsystems and critical components.
- Plan and execute lifecycle, durability, environmental and stress testing appropriate to product maturity and risk.
- Use test, prototype and field evidence to identify degradation mechanisms, estimate life and recommend design or usage changes.
- Build reliability learning from early prototypes toward repeatable production and field operation.

Design and manufacturing quality

- Work directly with engineering on design reviews, critical characteristics, testability, acceptance criteria and design risk reduction.
- Lead DFMEA and or PFMEA activities according to the product and process risk; convert findings into owned actions and verification evidence.
- Define fit for purpose inspection, control plans, end of line tests, burn in or screening methods where they add measurable value.
- Support product release decisions with clear evidence, unresolved risk visibility and proportionate controls.

Failure resolution and feedback loops

- Personally lead structured root cause analysis for prototype, production, supplier and field failures; drive corrective and preventive actions to verified closure.
- Establish failure reporting, review and learning mechanisms across engineering, manufacturing, suppliers and field operations.
- Use RMA, test, inspection and field data to prioritise the problems that most affect reliability, safety, availability and customer outcomes.

What Success Looks Like

- Reliability and quality risks are identified earlier and translated into specific engineering, supplier or process actions.
- Critical failures are investigated rigorously, corrective actions are verified and learning is retained.
- Release and production decisions use traceable evidence rather than informal judgement alone.
- The function operates effectively in a lean organization without depending on a laboratory team or large quality department.

Experience and Capabilities

- Experience 6 to 9 years in product quality, reliability, validation, manufacturing quality or a closely related discipline for complex hardware.




- Essential foundation Direct hands-on ownership of failure analysis and root cause resolution, with demonstrated ability to work across design, test, manufacturing and suppliers.
- Technical judgement Ability to connect failure evidence, product physics and manufacturing variation to practical design, test or process decisions.
- Build stage mindset Evidence of creating test methods, quality controls, reliability practices or operating mechanisms in an ambiguous NPI, prototype, low volume or scaling environment.

Relevant career paths

Candidates may come through either of the following paths. Deep expertise in every quality and reliability discipline is not required.

- Product reliability, validation or test strength, with working knowledge of manufacturing and supplier quality; OR
- Product or manufacturing quality strength, with demonstrated reliability testing, failure analysis and evidence based release work.

Methods and technical depth

- Deep experience in either DFMEA and design reliability or PFMEA and manufacturing quality, with working proficiency in the other.
- Practical proficiency in the methods relevant to your path, such as 8D, CAPA, fault tree analysis, fishbone, 5 Why, SPC, MSA or control plans. Mastery of every tool is not expected.
- Working knowledge of reliability statistics and test planning. Deeper proficiency in Weibull analysis, accelerated life testing or sample size methods is expected primarily for reliability led profiles.
- Technical depth in one or more areas such as actuators, gear trains, dynamic mechanisms, structural systems, electronics, power electronics, motors, sensors or interconnects.

Preferred Background

- Robotics, aerospace, automotive, industrial automation, defence, drones, medical devices or another safety or mission critical hardware sector.
- Exposure to environmental and durability testing, supplier audits, test equipment, data acquisition or industry quality standards. The exact combination may vary by career path.
- Mechanical, electrical, electronics, mechatronics, materials or related engineering degree, or equivalent practical experience. Certifications are useful but secondary to demonstrated technical ownership.

Who Will Thrive Here

You are a builder who is willing to investigate the failure, run the test, challenge the assumption and then create the system that prevents recurrence. You do not need a team or a mature quality framework to create impact. You combine technical depth with practical judgement and can make progress without adding unnecessary process.

📌 Quality and Reliability Lead (Bengaluru)
🏢 General Autonomy
📍 Bengaluru