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Job Description – Mechatronics Engineer

Position

Mechatronics Engineer

Experience

2 years

Location

Bengaluru, India

About the Role

We are looking for a hands-on Mechatronics Engineer with approximately 2 years of experience to work on the development and integration of intelligent electro-mechanical systems.

The role involves a combination of electronics system assembly and testing, sensors and actuators, control algorithms, estimation algorithms, embedded implementation, system configuration, and hardware-software integration. The ideal candidate should be comfortable working across the boundary between mechanical, electrical, embedded software, and algorithms.

Key Responsibilities

1. System Assembly & Integration

• Assemble and integrate electro-mechanical systems, sensors, actuators, embedded computers, controllers, and associated electronics.
• Perform wiring, connection, sensor installation, and basic electrical integration.
• Support integration of cameras, IMUs, GNSS, encoders, motors, servos, and other sensors/actuators.
• Configure systems for laboratory, ground, and flight testing.
• Troubleshoot hardware, electrical, communication, and integration issues.

2. Electronics Testing & Validation

• Develop and execute test procedures for electronic and mechatronic subsystems.
• Perform functional testing, sensor validation, actuator testing, and system-level testing.
• Use laboratory equipment such as oscilloscopes, multimeters, power supplies, electronic loads, and logic analysers.
• Analyse test data and identify hardware, firmware, sensor, or integration issues.
• Maintain test records, test reports, and issue/defect logs.

3. Control & Estimation Algorithms

• Implement and integrate control algorithms for electro-mechanical systems.
• Work with PID, state-space, feedback control, actuator control, and related control techniques.
• Implement estimation algorithms such as complementary filters, Kalman filters, EKF/UKF, or sensor fusion algorithms.
• Perform sensor calibration, parameter estimation, filtering, and system identification.
• Tune control and estimation parameters based on laboratory and flight-test data.

4. Embedded Implementation

• Implement algorithms on embedded processors and real-time computing platforms.
• Interface sensors and actuators using protocols such as UART, SPI, I²C, CAN, RS-232/485, Ethernet, etc.
• Develop or modify embedded C/C++ code for system integration.
• Debug hardware-software interaction and real-time issues.
• Support optimisation and deployment of algorithms on resource-constrained embedded systems.

5. Configuration & Version Management

• Maintain configuration of hardware, firmware, software, sensors, and system parameters.
• Maintain configuration-controlled parameter files, calibration data, firmware versions, and test configurations.
• Use Git or equivalent version-control systems for software and configuration management.
• Maintain proper traceability between hardware configuration, software version, test results, and system performance.
• Support controlled release of system configurations for testing and demonstrations.

6. System Testing & Field Trials

• Participate in system-level integration, laboratory testing, HIL/SIL testing, and field/flight trials.
• Prepare test setups and test cases based on system requirements.
• Collect and analyse telemetry, sensor, actuator, and performance data.
• Diagnose failures during integration and testing and work with the engineering team to resolve them.
• Support verification and validation activities for production-grade systems.

Required Skills

• B.E./B.Tech/M.Tech in Mechatronics, Electronics, Electrical, Instrumentation, Mechanical Engineering, or a related discipline.
• Approximately 2 years of relevant industry/project experience.
• Strong hands-on experience with electronics system assembly, integration, and testing.
• Understanding of sensors, actuators, motors, servos, and embedded systems.
• Good understanding of control systems and estimation/filtering techniques.
• Experience implementing algorithms in C/C++ and/or Python.
• Familiarity with microcontrollers, embedded processors, and real-time systems.
• Working knowledge of communication protocols such as CAN, UART, SPI, I²C and Ethernet.
• Experience using laboratory test equipment such as oscilloscopes and multimeters.
• Familiarity with Git and configuration/version management.
• Ability to read schematics, datasheets, interface specifications, and technical documentation.
• Strong debugging and problem-solving skills.
• Willingness to work hands-on with hardware and participate in field/flight testing.

Good to Have

• Experience with UAVs, robotics, autonomous systems, gimbals, or avionics.
• Experience with IMU, GNSS, magnetometer, barometer, encoder, camera, or other navigation sensors.
• Experience with EKF/UKF, sensor fusion, visual-inertial estimation, or inertial navigation.
• Familiarity with MATLAB/Simulink.
• Experience with PX4, ArduPilot, ROS/ROS2, or similar platforms.
• Experience with HIL/SIL testing.
• Basic understanding of real-time operating systems.
• Experience with hardware bring-up and PCB-level debugging.
• Familiarity with engineering standards, configuration management, and structured V&V processes.

Desired Attributes

• Hands-on engineer who enjoys working with both hardware and software.
• Comfortable moving between mechanical assembly, electronics, algorithms, and embedded implementation.
• Strong debugging mindset with an ability to systematically isolate problems.
• Good understanding of engineering fundamentals rather than dependence on pre-built libraries or tools.
• Able to work independently on assigned modules while collaborating closely with multidisciplinary teams.
• Comfortable working in a fast-paced R&D environment involving prototyping, testing, iteration, and field trials.
• Strong documentation and communication skills.

Typical Technology Environment

Sensors & Actuators: IMU, GNSS, magnetometer, encoders, cameras, motors, servos

Embedded: Microcontrollers, ARM processors, embedded Linux/RTOS

Algorithms: PID, state estimation, Kalman filtering, sensor fusion, system identification

Programming: C/C++, Python, MATLAB/Simulink

Testing: Oscilloscope, logic analyser, multimeter, power supply, HIL/SIL

This is a hands-on R&D engineering role suited for an engineer who wants to work on complete intelligent systems rather than a narrowly defined mechanical or electronics function. The engineer will contribute across assembly → integration → algorithm implementation → configuration → testing → debugging → field validation, with particular emphasis on UAV and autonomous-system applications.

About the Role

We are looking for a Senior iOS Engineer to build and own the trading experience on iOS in Swift — real-time

data via Combine, interactive charting, smooth animations, and the premium feel expected of a financial

application. What We’re Looking For

You have shipped native Swift apps that handle real-time data, complex reactive pipelines, and

performance-sensitive UI. You know UIKit and SwiftUI deeply and can bridge between them confidently. Ideally, you have worked on trading, fintech, or data-intensive iOS products. You take ownership of your domain, drive

technical decisions, and hold yourself and your team to a high quality bar. What You’ll Do

• Own the mobile trading experience on iOS — module architecture, navigation, performance, and

end-to-end quality. • Build and optimize real-time data rendering using Combine — WebSocket streams, subscription

management, and efficient SwiftUI/UIKit binding. • Integrate complex WKWebView-based components with JavaScript–Swift message passing. • Collaborate with product and design to deliver polished, trust-building interfaces for a financial product. • Define iOS engineering standards — architecture patterns, testing strategy, accessibility, and

performance benchmarks. • Drive code reviews, mentor team members, and champion best practices across the iOS team. • Participate in stabilization and release cycles — Instruments profiling, device matrix testing, and

regression analysis. Must-Have

• 4+ years native iOS development with Swift in production apps on the App Store. • Strong Combine experience for reactive programming, data streams, and async coordination. • Experience with both SwiftUI and UIKit — ability to compose views and bridge between the two. • Experience with real-time data rendering and WebSocket integration on iOS. • Experience integrating WKWebView with JavaScript bridge (WKScriptMessageHandler). • Understanding of iOS architecture patterns — MVVM, Coordinator, Clean Architecture. • Experience with push notifications (APNs), deep linking, and Universal Links.

Nice-to-Have

• Prior experience building trading, brokerage, or fintech iOS apps. • Experience with charting library integration on iOS. • Experience building custom UI components — animated charts, calendar views, card-based layouts. • Knowledge of server-driven UI (SDUI) patterns for dynamic rendering. • Familiarity with accessibility best practices (VoiceOver, Dynamic Type). Tech Stack

Language Swift 5.9+

UI SwiftUI + UIKit (hybrid)

Reactive Combine, async/await

Real-time URLSessionWebSocketTask / Starscream, Combine streams

Charting Charting library via WKWebView bridge

Testing XCTest, XCUITest (E2E), Instruments profiling

Job Description – Software Engineer (Java Spring Boot + Angular)

Location: Whitefield, Bangalore (Work from Client Office)

Experience: 4–8 years

Role Overview

We are hiring Software Engineers with strong experience in Java Spring Boot and Angular to work on enterprise-level applications at the client office in Whitefield, Bangalore.

Key Responsibilities

• Develop and maintain backend services using Java, Spring Boot, REST APIs.
• Build interactive front-end modules using Angular.
• Collaborate with the lead, QA, and product team for high-quality delivery.
• Understand requirements, participate in design discussions, and contribute to technical solutions.
• Write clean, maintainable, and scalable code.
• Perform unit testing and integration testing.
• Fix bugs, optimize code, and improve application performance.

Technical Skills Required

• Strong coding skills in Java 8+, Spring Boot, RESTful API development.
• Experience working with Angular.
• Good understanding of Microservices concepts.
• Strong knowledge of SQL/NoSQL databases.
• Experience with version control (Git), CI/CD pipelines, and build tools.
• Familiarity with cloud services is a plus.

Soft Skills

• Good communication and teamwork skills.
• Ability to work independently and handle tasks with minimal supervision.
• Strong debugging and problem-solving skills.

Note: One technical round is mandatory to be taken F2F from office.

About Company

Mihup is a voice AI company building in-car voice assistance and sound technology for the automotive industry. We power intelligent voice experiences for leading OEMs.

Its solutions integrate automation, real-time assistance, and analytics at scale to enhance accuracy, efficiency, and agility in enterprise operations. Mihup.ai also serves organizations across BFSI, IoT, and other sectors, delivering robust conversation intelligence that supports performance and innovation. With over 1 billion interactions powered, Mihup.ai helps businesses turn voice data into measurable business outcomes and competitive advantage. The company offers a dynamic environment for professionals interested in advanced AI applications in automotive and other industries.

Role Description

The Product Manager – Automotive is a full-time, on-site role based in the Greater Bengaluru Area. This role is responsible for defining product vision and roadmap for automotive Voice AI solutions, gathering and prioritizing customer and market requirements, and aligning features with business objectives. Day-to-day responsibilities include collaborating with automotive clients and internal teams, translating user needs into product specifications, coordinating with engineering and design for feature development, and managing product launches. The Product Manager will monitor product performance, customer satisfaction, and usage metrics, while continuously identifying opportunities for improvement and innovation in automotive use cases. The role also involves working closely with customer success and sales teams to support demos, training, and feedback loops that inform ongoing product enhancements.

Qualifications

• Candidates hving domain knowledge in Automotive and the Automotive Industry, with experience in connected vehicles, infotainment, or in-car digital experiences is a plus
• Experience in product management, including roadmap planning, requirements gathering, and cross-functional collaboration with engineering, design, and data teams.
• Strong analytical and problem-solving skills, with the ability to interpret product data, user feedback, and market trends to drive decisions.
• Excellent communication and stakeholder management skills, with the ability to work effectively with technical and non-technical partners.
• Background in Voice AI, SaaS, or enterprise software is highly beneficial; prior work with automotive OEMs, Tier-1 suppliers, or mobility platforms is a plus.
• Bachelor’s degree in engineering, business, or a related field; advanced degrees or product management certifications are advantageous.

Job Title: Tech Lead and SSE – Kafka, Python, and Azure Databricks (Healthcare Data Project)

Experience: 4 to 12 years

Role Overview:

We are looking for a highly skilled Tech Lead with expertise in Kafka, Python, and Azure Databricks (preferred) to drive our healthcare data engineering projects. The ideal candidate will have deep experience in real-time data streaming, cloud-based data platforms, and large-scale data processing. This role requires strong technical leadership, problem-solving abilities, and the ability to collaborate with cross-functional teams.

Key Responsibilities:

• Lead the design, development, and implementation of real-time data pipelines using Kafka, Python, and Azure Databricks.
• Architect scalable data streaming and processing solutions to support healthcare data workflows.
• Develop, optimize, and maintain ETL/ELT pipelines for structured and unstructured healthcare data.
• Ensure data integrity, security, and compliance with healthcare regulations (HIPAA, HITRUST, etc.).
• Collaborate with data engineers, analysts, and business stakeholders to understand requirements and translate them into technical solutions.
• Troubleshoot and optimize Kafka streaming applications, Python scripts, and Databricks workflows.
• Mentor junior engineers, conduct code reviews, and ensure best practices in data engineering.
• Stay updated with the latest cloud technologies, big data frameworks, and industry trends.

Required Skills & Qualifications:

• 4+ years of experience in data engineering, with strong proficiency in Kafka and Python.
• Expertise in Kafka Streams, Kafka Connect, and Schema Registry for real-time data processing.
• Experience with Azure Databricks (or willingness to learn and adopt it quickly).
• Hands-on experience with cloud platforms (Azure preferred, AWS or GCP is a plus).
• Proficiency in SQL, NoSQL databases, and data modeling for big data processing.
• Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines for data applications.
• Experience working with healthcare data (EHR, claims, HL7, FHIR, etc.) is a plus.
• Strong analytical skills, problem-solving mindset, and ability to lead complex data projects.
• Excellent communication and stakeholder management skills.

Responsibilities:

• Must be able to write quality code and build secure, highly available systems.
• Assemble large, complex datasets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing datadelivery, re-designing infrastructure for greater scalability, etc with the guidance.
• Create datatools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Monitoring performance and advising any necessary infrastructure changes.
• Defining dataretention policies.
• Implementing the ETL process and optimal data pipeline architecture
• Build analytics tools that utilize the datapipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Create design documents that describe the functionality, capacity, architecture, and process.
• Develop, test, and implement datasolutions based on finalized design documents.
• Work with dataand analytics experts to strive for greater functionality in our data
• Proactively identify potential production issues and recommend and implement solutions

Skillsets:

• Good understanding of optimal extraction, transformation, and loading of datafrom a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Proficient understanding of distributed computing principles
• Experience in working with batch processing/ real-time systems using various open-source technologies like NoSQL, Spark, Pig, Hive, Apache Airflow.
• Implemented complex projects dealing with the considerable datasize (PB).
• Optimization techniques (performance, scalability, monitoring, etc.)
• Experience with integration of datafrom multiple data sources
• Experience with NoSQL databases, such as HBase, Cassandra, MongoDB, etc.,
• Knowledge of various ETL techniques and frameworks, such as Flume
• Experience with various messaging systems, such as Kafka or RabbitMQ
• Good understanding of Lambda Architecture, along with its advantages and drawbacks
• Creation of DAGs for dataengineering
• Expert at Python /Scala programming, especially for dataengineering/ ETL purposes

Responsibilities Include:

• Translation of the UI/UX design wireframes to actual code that will produce visual elements of custom analytics products and wide web applications
• Will work with the R&D and Analytics team to bridge the gap between graphical design and technical implementation
• Take an active role on both sides and defining how the application looks as well as how it works

Ideal Candidate

• Experience with JavaScript, TypeScript, HTML, and CSS
• Experience developing new user-facing features
• Strong working knowledge of front-end frameworks (Angular 2+ versions)
•  
• Experience building reusable code and libraries for future use
• Ensuring the technical feasibility of UI/UX designs
• Optimize application for maximum speed and scalability
• Assure that all user input is validated before submitting to back-end
• Collaborate with other team members and stakeholders

Desired Skills:

• Experience leveraging data analysis to construct strategic narrative
• Excellent problem-solving/analytical skills and ability to break down large complex concepts
• Knowledgeable in web standards and responsive design
• Strong UI/UX and design experience with the ability to simplify complex scenarios to the average user without losing functionality
• Knowledgeable in web standards and responsive design
• Familiarity with Agile project management principles
• Confidence to drive assignments to completion

Physical Design - JD

Experience: 2-20 yrs
1.Strong background of ASIC Physical Design: Floor planning, P&R, Extraction, IR Drop Analysis, Static Timing and Signal Integrity.                          
2.Hands-on experience on technology nodes like 7nm, 14nm, 10nm.
3.Good knowledge of EDA tools from Synopsys , Cadence and Mentor              
4.Hands-on experience in floor planning, placement optimizations, CTS and routing.                                  
5.Hands-on experience in cadence or Synopsys tool (Encounter, ICC, PT/PTSI, TEMPUS, DC, RC, VOLTAS)