Design and develop mechanical systems across NPD: concept, CAD, FEA, prototyping, testing, DFM, manufacturing and production scale-up. Collaborate with SCM, manufacturing and vendors and mentor/guide a team to deliver robotic hardware to production quality.
About Perceptyne
How is it like to work at Perceptyne?
Role Overview Skills & Requirements
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!
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
As a mechanical design engineer, you will be involved in all phases of the new product development life cycle: Designing, Prototyping, Testing, and Manufacturing.
Your everyday activities would include: system/sub-system level discussions, concept development, CAD design, FEA analysis, DFM analysis, prototyping, manufacturing, assembly, testing and production scale-up.
- Experience Requirements:
- A BTech/MTech degree in Mechanical/Industrial/Design Engineering
- >7 years of experience designing and building mechanical systems
- Technical skill Requirements
- Strong intuition for relevant math & physics
- geometry, trigonometry, calculus
- kinematics, dynamics, and material properties
- Strong fundamentals of mechanical engineering
- applied mechanics, strength of materials, component sizing, linkages & mechanisms, DFM, manufacturing methods, GD&T.
- Strong working knowledge of static and dynamic FEA on any simulation software (Ansys or Abaqus)
- Good knowledge of vendor ecosystem & offerings, manufacturer ecosystem & capabilities, industry standards etc.
- Highly proficient with at least one 3D CAD software (preferably Fusion 360)
- Strong understanding of gear trains – design & manufacturing (preferable)
- Strong intuition for relevant math & physics
- Soft skill Requirements
- Passionate about Robotics & DIY projects
- Effectively handle multiple workloads and organize workflows
- Be resourceful, creative about getting things done with a sense of urgency
- Work with multiple teams (SCM, Manufacturing, Vendors) to get designs manufactured to the required quality standards.
- Be curious of whatever is happening in the company and pitch in wherever you think you can learn or add value.
- Go-getter attitude.
- Experience in building / guiding a team.
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.
