Lead day-to-day shop floor manufacturing and assembly operations, plan production, define and document process flows, coordinate in-house and vendor production, resolve manufacturing issues through root-cause analysis, and supervise the Planning Engineering team to ensure timely, quality, and cost-effective production.
About Perceptyne
Perceptyne is a deep-tech robotics startup building AI-powered semi-humanoid robots for automating dexterous and intelligent tasks on industrial shopfloors. By integrating AI into the automation pipeline, Perceptyne’s robots unlock a range of advanced capabilities that were previously considered challenging or impractical—empowering customers to achieve more. We work closely with organizations in areas of electronics product assembly, Automotive assembly lines, warehouse operations etc. to help them realize their automation goals. We are building technology that will push the boundary of robotics as we know it today!
How is it like to work at Perceptyne?
At our core, we like to solve customer problems, build things, evangelize great ideas, and we are grounded. At Perceptyne, we greatly value these dichotomies:
· Having experience while not losing a first principles approach.
· Having a large vision while not losing attention to detail
· Working on disruptive tech while hitting the market ASAP
Role Overview
Department: Manufacturing
Location: Gandimaisamma, Hyderabad
The Production Engineer (Manufacturing) will be responsible for end-to-end manufacturing and assembly operations, including daily production planning, process definition, execution control, vendor coordination, and resolution of manufacturing issues. The role requires strong shop floor involvement and leadership of the Planning Engineering function to ensure timely, efficient, and high-quality production.
Key Responsibilities
1. Production Planning & Coordination
Plan manufacturing activities for the day and upcoming weeks.
Prioritize urgent and emergency production requirements.
Track the status of all parts from design release through manufacturing and final assembly.
Coordinate both in-house manufacturing and outsourced/vendor produ
ction.
Ensure adherence to production schedules and delivery commitments.
2. Manufacturing Process Definition
Define and document complete manufacturing process flow and routing.
Establish step-by-step production sequences for machining, fabrication, and assembly.
Continuously optimize processes for productivity, quality, and cost efficiency.
3. Manufacturing & Assembly Operations
Oversee day-to-day shop floor manufacturing activities.
Supervise machining, sheet metal fabrication, and assembly operations.
Monitor and ensure quality standards in assembly processes.
Ensure effective utilization of manpower, machines, and materials.
4. Issue Resolution & Continuous Improvement
Identify and resolve manufacturing and assembly-related issues.
Conduct root cause analysis and implement corrective/preventive actions.
Minimize downtime and drive continuous process improvements.
5. Team Leadership
Lead and supervise the Planning Engineering team.
Align planning activities with production priorities and business requirements.
Coordinate with Design, Quality, Procurement, and Supply Chain teams.
Technical Skills Required
Hands-on experience in:
Milling
Turning
Sheet metal fabrication
Assembly operations (including quality tracking)
Casting (preferred)
Strong understanding of manufacturing process planning, production control, and quality standards.
Strong understanding of manufacturing drawings and inspection methods.
Qualifications & Experience
B.Tech in Mechanical / Production / Manufacturing Engineering with minimum 5 years of relevant experience,
OR
Diploma (Mechanical / Production) with minimum 10 years of relevant experience.
Experience in the precision manufacturing industry is a plus.
Perceptyne Robots Hyderābād, Telangāna, IND Office
Botanical Garden Road, Hyderābād, Andhra Pradesh, India
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Owns the strategy, roadmap, lifecycle, and commercial performance of externally sold fraud detection and prevention products. Defines fraud capabilities, KPIs, business cases, and product requirements while partnering with data science, engineering, risk, compliance, operations, and external vendors. Evaluates detection methods, market trends, fraud typologies, regulatory expectations, and product performance to guide investment, operational readiness, adoption, and risk mitigation.
Top Skills:
Ai Fraud DetectionCard PaymentsCase Management PlatformsDispute And Chargeback WorkflowsInvestigation ToolsMachine Learning Fraud ScoringNetwork-Level Fraud SignalsOpen-Loop ProcessingRules EnginesTransaction Monitoring
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Designs, develops, and deploys AI/ML and generative AI solutions for healthcare claims, including fraud detection, overpayment disputes, workflow automation, and document understanding. Builds LLM applications, RAG frameworks, and prompt engineering solutions; develops evaluation and validation processes; optimizes model deployment and inference; and supports responsible AI governance. Collaborates with engineering, product, analytics, data science, and business teams to deliver scalable solutions and measurable operational improvements.
Top Skills:
Artificial IntelligenceCloud Ai/Ml PlatformsGenerative AiLarge Language ModelsMachine LearningMlopsPrompt EngineeringPythonRetrieval-Augmented Generation
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Develop and maintain scalable enterprise data pipelines and ETL/ELT workflows using Python, PySpark, Databricks, Snowflake, Azure Data Factory, and related technologies. Support batch and streaming workloads, cloud data movement, platform stability, incident resolution, security remediation, upgrades, and operational support. Build AI tools, optimize data platforms, collaborate across teams, and contribute to documentation and continuous improvement within healthcare data environments.
Top Skills:
AirflowSparkAzcopyAzure Blob StorageAzure Data FactoryData ModelingData WarehousingDatabricksDelta Live TablesEltETLGitGithub CopilotIbm DatastagePysparkPythonSnowflakeSpark SqlTeradataUnix/Linux
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.

