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Embedded Voice & ML Application Engineer

5-10 Years
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Job Description

Job Summary

we are seeking an experienced embedded engineer with a strong foundation in embedded c programming and machine learning on edge devices. the role focuses on developing real-time voice and ml applications on low-power, resource-constrained hardware using rtos and ml frameworks like tensorflow lite micro.

Key Responsibilities

  • develop embedded software in c for voice and ml-based applications
  • implement real-time processing using rtos (freertos)
  • conduct board bring-up and low-level hardware integration
  • optimize embedded systems for low power and high performance
  • port and deploy ml models using tensorflow lite micro or pytorch
  • debug and optimize multicore applications with npus
  • write and manage linker scripts using gcc, iar, or arm toolchains
  • handle dsp/isp processing for audio and signal flows

More Info

Job Type:
Industry:
Employment Type:
Open to candidates from:
Indian

About Company

We are an Engineering company with leading capabilities in Digital Transformation, Internet-related services and products, Data Science, Development Operations, Product as a Service, Technology Consulting, and Software Engineering. We are trusted by NSE giants as a digital transformation partner and have a proven track record in providing customized digital solutions across industry segments. To know more visit us at www.vayuz.com VAYUZ DNA: We believe that great products require a product-thinking DNA. Our approach starts with putting the customer first and runs through everything we do—from the development process to the product design methodology, every line of code we write, and the way our team collaborates with clients. This strong foundation allows us to deliver innovative, scalable, and robust technology solutions. Key Mantras: - Respect TIME: We value time and are committed to delivering on our promises. - PLAN Well: Detailed planning is the cornerstone of our high-quality delivery. - Deliver QUALITY: Excellence in every deliverable is non-negotiable. Core Offerings: - Cloud: Migration, infrastructure management, SaaS, PaaS, IaaS. - Data: Analytics, BI tools, predictive analytics, data-driven decisions. - AI/ML: Automation, models, NLP. - Digital Workplace: Remote work, virtual desktops, employee experience. - IoT: Connected devices, analytics, smart infrastructure. - Mobile/Web: Custom apps, PWAs, mobile-first design. - Legacy Modernization: Upgrades, refactoring, integration. - DevOps/Agile: Implementation, methodology for faster delivery.

Job ID: 122415865