Component Validation Engineer

Bytebeam

Bengaluru

On-site

INR 900,000 - 1,300,000

Full time

10 days ago
Application generator

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Job summary

Bytebeam is seeking a Component Validation Engineer in Bengaluru to characterize, qualify, and approve electronic components and modules used in Bytebeam's hardware products. You’ll turn datasheets and field learnings into practical validation plans, build setups, automate measurements, and provide clear approval recommendations.

You will work across hardware design, product validation, sourcing, quality, manufacturing, and suppliers to ensure selected components are suitable and qualified for

Qualifications

  • 2-5 years hands-on experience in electronic component, module, hardware validation.
  • Bachelor's degree in Electronics, Electrical, Instrumentation, or related engineering.
  • Ability to read schematics, datasheets, application notes, timing diagrams and PCB documentation.
  • Experience creating test plans with defined conditions, sample strategy, acceptance criteria, traceability, and clear technical reports.
  • Hands-on ability with oscilloscopes, DMMs, programmable power supplies, electronic loads, logic analyzers, function generators, and data-acquisition equipment.
  • Demonstrated depth in at least one relevant component domain: power and protection; processors, memory or storage; cameras and imaging; cellular, GNSS or RF; sensors and vehicle interfaces; or connectors and electromechanical parts.
  • Automotive component experience and familiarity with AEC‑Q100/AEC‑Q200 evidence, component derating, JEDEC methods, or ISO-related parts.
  • Hands-on ability to estimate, calculate, and validate component FIT rates using mission profiles and reliability data; familiarity with JESD85 and IEC 61709 or similar.
  • Experience comparing and qualifying alternate components with regression testing.
  • Ability to automate measurements or analyze test data using Python, LabVIEW, MATLAB, or similar tools.
  • Strong documentation and communication skills with evidence-based recommendations.

Responsibilities

  • Convert requirements, datasheets, DFMEA, field learnings into component-level validation plans.
  • Characterize performance across voltage, current, temp, and other condition variations; review evidence for approval.
  • Plan or support environmental, electrical, reliability, EMI/EMC, vibration, aging tests.
  • Coordinate tests with suppliers, product-validation teams, and external labs.
  • Define mission profiles and predict FIT rates; normalize data for application conditions.
  • Roll up results into module-level reliability estimates and recommend changes.
  • Validate interactions across hardware, firmware, camera, RF, and mechanical owners.

Skills

Component validation
Read schematics and datasheets
Test plan creation
Automation with Python/LabVIEW/MATLAB
Failure analysis & root cause
FMEA/IEC reliability awareness

Education

Bachelor's in Electronics / Electrical / instrumentation or related field

Tools

Oscilloscopes & DMMs
Programmable power supplies / electronic loads

Job description

We are hiring a Component Validation Engineer to characterize, qualify, and approve electronic components and modules used across Bytebeam's hardware products. Depending on program priorities, you may work on telematics hardware, driver monitoring hardware, or shared connected-device platforms.

You will turn datasheets, design requirements, DFMEA risks, supplier evidence, and field learnings into practical test plans. You will build setups, automate measurements, analyze variation and margin, investigate failures, and make clear approve, reject, or conditional-use recommendations.

This role sits between hardware design, product validation, sourcing, quality, manufacturing, and suppliers. It is not limited to checking datasheet values, and it does not own full-product release validation. Your job is to establish whether an assigned component or module is suitable and sufficiently qualified for Bytebeam's intended application.

What You’ll Do (Ownership Areas)
1. Component Requirements and Risk Assessment
  • Convert product requirements, schematics, datasheets, design use conditions, DFMEA, field failures, and supplier documentation into component-level validation plans.
  • Identify critical electrical, functional, thermal, timing, RF, imaging, mechanical, and lifetime parameters for assigned parts or modules.
  • Define samples, configurations, corner conditions, measurement methods, acceptance criteria, and evidence required for approval.
  • Review supplier qualification evidence and identify the application-specific gaps Bytebeam must validate.
2. Characterization and Qualification
  • Characterize performance across relevant voltage, current, load, temperature, tolerance, operating mode, configuration, sample, and lot conditions.
  • Validate components on evaluation boards, custom fixtures, Bytebeam PCBAs, and limited subsystem setups as needed to prove application suitability.
  • Measure margin, repeatability, variation, and failure boundaries instead of relying only on nominal pass/fail results.
  • Plan or support environmental, electrical, reliability, ESD, EMI/EMC, vibration, humidity, storage-endurance, and aging tests appropriate to the component risk.
  • Coordinate specialized tests with product-validation engineers, suppliers, and external laboratories.
3. Reliability Prediction and FIT-Rate Validation
  • Define component mission profiles covering operating hours, duty cycle, voltage and current stress, junction or case temperature, environment, and expected field life.
  • Estimate component FIT rates using applicable supplier reliability reports, qualification or monitoring data, and recognized methods such as JESD85, IEC 61709, SN 29500, IEC TR 62380, or an agreed equivalent.
  • Normalize accelerated-life data to application conditions using appropriate models such as Arrhenius acceleration, with documented activation energy, assumptions, sample size, device-hours, failures, and confidence level.
  • Calculate statistical FIT-rate estimates or upper confidence bounds for low- and zero-failure datasets, and convert between FIT, failure rate, MTBF, and mission-time reliability without presenting them as physical wear-out life.
  • Roll up component failure rates into module or PCBA reliability estimates, identify dominant contributors, and recommend component, stress, thermal, redundancy, or test changes.
  • Validate and refine predictions using qualification results, supplier failure analysis, production data, and field returns while keeping predicted, demonstrated, and observed failure rates clearly separated.
4. Product-Domain Validation
  • Validate assigned components across one or more connected-device domains:
  • Power management, protection, backup batteries, regulators, chargers, and automotive power interfaces.
  • Processors, MCUs, memory, storage, high-speed interfaces, and peripheral ICs.
  • Camera sensors and modules, lenses, IR illumination, image quality, timing, and camera interfaces.
  • Cellular, GNSS, Wi-Fi/Bluetooth, RF front ends, antennas, and connectivity modules.
  • IMUs and other sensors, CAN/LIN transceivers, audio, connectors, harnesses, and electromechanical parts.
  • Work with hardware, firmware, camera, RF, and mechanical owners to validate the interactions that cannot be proven at a standalone component level.
5. Alternate Parts and Lifecycle Changes
  • Evaluate alternates for shortage, single-source risk, obsolescence, supplier change, cost reduction, or quality improvement.
  • Build form-fit-function and parameter-comparison reports that identify real application deltas rather than only matching headline specifications.
  • Define risk-based qualification and regression coverage for new manufacturers, process or package changes, PCNs, and component revisions.
  • Provide documented approval recommendations and inputs to BOMs, approved-part records, engineering changes, and production release.
  • Partner with sourcing and supply-chain teams on PCN, EOL, NRND, counterfeit, traceability, and component-lifecycle risks.
6. Test Systems, Automation, and Data
  • Design and maintain fixtures, harnesses, evaluation setups, instrument configurations, and automated benches.
  • Automate measurements and regression tests using Python, LabVIEW, MATLAB, or comparable tools where automation improves coverage and repeatability.
  • Control hardware, firmware, instrument, sample, and test-configuration versions so results can be reproduced.
  • Analyze data using appropriate plots and statistics; retain raw evidence and communicate conclusions, limitations, and residual risk clearly.
  • Maintain reusable procedures, scripts, datasets, test assets, and component characterization records.
7. Failure Analysis and Corrective Action
  • Isolate failures across the component, application circuit, PCB, firmware, manufacturing process, supplier lot, and test setup.
  • Reproduce issues, form and test hypotheses, and use measurements to prove root cause.
  • Work with suppliers on failure-analysis requests, 8D or corrective-action reports, and verification of fixes.
  • Feed learnings into design rules, component requirements, incoming checks, production tests, and future qualification plans.
Deliverables You’ll Own
  • Component requirements, risk assessment, and qualification matrix
  • Characterization plans, procedures, fixtures, scripts, raw data, and analysis reports
  • Component and module FIT-rate estimates with mission profile, method, assumptions, confidence level, sensitivity, and dominant-contributor analysis
  • New-part and alternate-part comparison and qualification reports
  • Clear approve, reject, or conditional-use recommendations with residual risks
  • Component failure-analysis reports and supplier corrective-action closure
  • Inputs to approved-part records, BOM and engineering changes, production tests, and product DVP&R
  • Reusable component test methods, automation, and characterization database
Must-Have Skills
  • 2-5 years of hands-on experience in electronic component, module, hardware, reliability, or subsystem validation for automotive, IoT, consumer, industrial, or similarly complex embedded products.
  • Bachelor's degree in Electronics, Electrical, Instrumentation, or a related engineering discipline, or equivalent practical experience.
  • Strong electronics fundamentals and the ability to read schematics, datasheets, application notes, timing diagrams, and PCB documentation.
  • Experience creating test plans with defined conditions, sample strategy, acceptance criteria, traceability, and clear technical reports.
  • Hands-on ability with oscilloscopes, DMMs, programmable power supplies, electronic loads, logic analyzers, function generators, and data-acquisition equipment.
  • Demonstrated depth in at least one relevant component domain: power and protection; processors, memory or storage; cameras and imaging; cellular, GNSS or RF; sensors and vehicle interfaces; or connectors and electromechanical parts.
  • Automotive component experience and familiarity with AEC-Q100/AEC-Q200 evidence, component derating, JEDEC methods, or application-relevant parts of ISO 16750, ISO 7637-2, ISO 11452, and CISPR 25.
  • Hands‑on ability to estimate, calculate, and validate component FIT rates using mission profiles, supplier reliability data, accelerated‑life evidence, temperature and stress acceleration, and statistical confidence bounds; familiarity with JESD85 and at least one parts-count or parts-stress method such as IEC 61709, SN 29500, IEC TR 62380, Telcordia SR-332, FIDES, or MIL-HDBK-217.
  • Experience comparing and qualifying alternate components, including form-fit-function assessment and application-specific regression testing.
  • Ability to automate measurements or analyze test data using Python, LabVIEW, MATLAB, or a comparable tool.
  • Practical failure-analysis and root-cause skills across component, circuit, firmware, process, and test-setup boundaries.
  • Strong documentation and communication skills, with the judgment to make evidence-based component approval recommendations.
Good-to-Have
  • Camera-module validation using objective image-quality measurements such as FOV, distortion, sharpness, noise, dynamic range, low-light, IR, frame rate, or latency.
  • RF or connectivity validation using a spectrum analyzer, VNA, RF call box, GNSS simulator, shield box, or conducted and radiated test setup.
  • Validation of eMMC/UFS/SD endurance, memory interfaces, high-speed buses, or power-loss recovery behavior.
  • CAN tools, HIL setups, environmental chambers, vibration systems, HALT/ESS, or external compliance-lab coordination.
  • Component lifecycle, PLM, AVL/AML, SiliconExpert, IHS, Octopart, PCN/EOL, ECO/ECN, PPAP, or supplier-quality experience.
  • Weibull or lognormal life-data analysis, reliability block diagrams, FMEA/FMECA, fault‑tree analysis, physics-of-failure methods, measurement‑system analysis, gauge R&R, or reliability software.
Application Note
  • Along with your resume, describe one component or module you characterized or qualified. Explain the application, the highest-risk parameter, how you designed the test, what the data showed, and the final decision or design change.
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