Hardware Design Developer – Verilog

Interested in designing award-winning wearables while managing challenging constraints so that your products are used everyday by millions of users? Then read on..

ULTRAHUMAN • HARDWARE

Hardware Design Engineer Wearables

Bangalore (Kudlu Gate)| • On-site | Full-time |

ABOUT THE ROLE

Ultrahuman's Hardware division builds award-winning wearables the Ultrahuman Ring and Ring Air pushing consumer technology in health and metabolic fitness. We're looking for a Hardware Design Engineer to own electronics design for our next-generation smart rings, from architecture and schematic capture through PCB layout, bring-up, and mass production.

This is a hands-on role at the extremes of miniaturization and power efficiency. You'll make architecture-level component decisions, drive high-density and RF layout, and take designs through NPI to volume — working closely with mechanical, firmware, and manufacturing teams on fast product cycles.

KEY RESPONSIBILITIES

Architecture & Schematic Design

• Translate product requirements into hardware architecture, then into schematics and manufacturable PCB designs using OrCAD / Allegro (Cadence).
• Own component selection across MCU/SoC, PMIC, sensor AFEs, and RF front-ends — balancing size, power, cost, and supply availability.
• Handle schematic-to-layout conversion and netlist import; create and maintain symbol/footprint libraries and land patterns.

High-Density & RF Layout

• Design and review high-density (HDI), rigid, and rigid-flex PCB layouts for space-constrained wearable form factors.
• Design 2.4 GHz BLE antennas and NFC coils, matching networks, and controlled-impedance routing; support antenna tuning and RF validation.
• Apply signal-integrity best practices for high-speed digital interfaces and mixed-signal boards.

Power & Low-Power Design

• Architect power trees around PMICs, buck/boost converters, and LDOs, including Li-ion charging for small-capacity cells.
• Build and validate ultra-low-power current budgets to meet multi-day battery-life targets.
• Strong grasp of power electronics and active/passive component behaviour.

Sensor Integration

• Integrate optical biosensing (PPG) AFEs, IMUs, temperature sensors, and haptics; own I²C/SPI interface design and analog front-end layout.

Manufacturing & DFM

• Own Gerber/ODB++ release, fabrication and assembly drawings, panelization, and full manufacturing data packages.
• Prepare and maintain BOMs; evaluate and qualify alternate / second-source components.
• Drive DFM/DFA reviews with fab and SMT/EMS partners; support NPI through EVT/DVT/PVT to mass production.
• Sound understanding of PCB materials, stackups, and component assembly processes.

Compliance, Reliability & Validation

• Apply EMI/EMC, thermal, and mechanical design best practices.
• Support pre-compliance and certification across FCC, CE, BIS, and RoHS, and familiarity with IEC standards for PCB design safety.
• Coordinate with test engineers on board bring-up and PCB validation; run circuit simulations for RF and signal/timing optimization.

Ownership & Collaboration

• Independently manage hardware projects end-to-end, including vendor coordination and delivery of final hardware.
• Collaborate with mechanical engineers to optimize designs and meet project timelines.
• Bring the latest design tools, methodologies, and industry best practices into the team.

REQUIRED QUALIFICATIONS

• Bachelor's or Master's in EEE, Electronics, or equivalent practical experience.
• 4+ years of hands-on hardware / PCB design experience, ideally in consumer electronics or wearables.
• Proficiency with a leading schematic and PCB toolchain (OrCAD / Allegro preferred).
• Proven track record taking a product from schematic through layout to volume production.
• Working knowledge of power electronics and active/passive component selection.
• Familiarity with global certifications (FCC, CE, BIS, RoHS) and IEC PCB safety standards.

PREFERRED / BONUS

• Experience with miniaturized high-density or rigid-flex designs.
• RF design experience (2.4 GHz / BLE, NFC, antenna tuning and matching).
• EMI/EMC design and pre-compliance testing experience.
• Low-power / battery-operated wearable product experience.
• Familiarity with reliability methods (DFMEA, derating) and RF / signal-timing circuit simulation.

Job Title: Software/Hardware Engineer (IIT/NIT)

Location: Bangalore

Website: https://www.zeuron.ai

Experience: 1-5Years

CTC: 6-10 LPA

No Freshers

About the Company

Zeuron.ai is a Bangalore-based deep-tech startup founded in 2019, focused on building brain-inspired computing and AI-driven healthcare solutions. The company combines neuroscience, AI, and gaming to create innovative digital therapeutics and neurotechnology platforms for improving brain health, rehabilitation, and overall well-being.

The role

Zeuron.ai is looking for hands-on software engineers who can turn an incomplete brief into reliable, usable software. You will work as an individual contributor, make sound technical decisions and take responsibility for the quality of what you deliver.

AI coding tools will be part of the workflow. We expect you to understand the underlying software well enough to build and debug without an LLM, then use AI to accelerate implementation, exploration and verification. You remain accountable for the result.

What you will own

• End-to-end delivery: clarify requirements, break work into achievable steps, implement features, test them, deploy them and respond to issues after release.

• Product decisions: understand the user problem, question unclear requirements and explain trade-offs between speed, quality, complexity and maintainability.

• Reliable software: investigate defects, identify root causes and improve error handling, performance and usability.

• Engineering continuity: maintain readable code, useful documentation and clear handovers so that others can run, understand and extend your work.

Engineering expectations

We value demonstrated building ability, technical reasoning and sound judgement. Tool familiarity should be supported by evidence of software you have actually delivered.

Software fundamentals

• Programming: practical fluency in at least one programming language, with an understanding of data structures, control flow, modularity and common complexity trade-offs.

• Applications and services: understand how interfaces, APIs, business logic and data storage interact. Be able to trace a failure across these boundaries.

• Data: work with databases, reason about data models and queries, and handle validation, consistency and errors appropriately.

• Development workflow: use Git confidently, review changes, manage dependencies and keep development and deployment instructions reproducible.

• Testing and debugging: reproduce failures, form hypotheses, inspect logs and isolate causes. Test important behaviour and edge cases rather than relying on a successful demo.

• Security and reliability: recognise basic risks around authentication, access control, secrets, input handling and third-party dependencies.

Build independently. Use AI effectively.

• Without LLMs: write and modify code, diagnose defects, explain design choices and use documentation to solve unfamiliar problems independently.

• With AI coding tools: frame tasks clearly, supply relevant context, use generated suggestions selectively and inspect the resulting changes.

• Verify before accepting: check correctness, integration, security and maintainability. Recognise invented APIs, fragile assumptions and plausible-looking code that does not solve the actual problem.

• Protect information: use approved tools and handle credentials, proprietary code and user data responsibly.

Evidence we want to discuss

Be prepared to walk through a project you contributed to: the problem, your specific contribution, important technical decisions, a difficult bug and how you verified the result. Public repositories or demos are useful where available; do not share confidential material from previous employers.

Ownership, growth & applying

How you will work

• Act as an owner: follow through on agreed deliverables, raise blockers early and communicate progress with concrete evidence.

• Work with the team: collaborate with product and engineering colleagues, accept review constructively and explain technical choices clearly.

• Learn with purpose: pick up unfamiliar tools when the problem requires them, while keeping the solution proportionate to the need.

• Grow through contribution: begin with hands-on individual-contributor responsibility, with potential to take on broader product or team responsibility as delivery, judgement and collaboration develop.

What strong performance looks like

Working features that meet agreed requirements; clear reasoning about implementation; defects investigated systematically; code that others can maintain; and AI-assisted work whose quality you can explain and verify.

Eligibility and compensation

Experience: 1-5 years of hands-on software development experience only.

Freshers are not considered.

Locations: Bengaluru and Belagavi.

Annual CTC : 6-10 LPA

The offer will depend on experience, interview performance and growth potential.

What to expect in the assessment

Be prepared for a discussion of your previous work, a practical coding or debugging task without LLM assistance, and an assessment of how you use AI coding tools and verify their output. We will also discuss product judgement, ownership and collaboration.

Position: Computer Vision Engineer

Experience: 2–3 Years

Location: Bengaluru, Karnataka

Employment Type: Full-time

About the Role

We are seeking a highly motivated Computer Vision Engineer to join our autonomy and avionics team. The role involves developing, implementing, and validating computer vision models and algorithms and pipelines for UAVs operating in both GNSS-available and GNSS-denied environments.

The ideal candidate should have a strong foundation in theory of deep learning and machine learning, strong understanding of electromagnetic spectrum, imaging fundamentals, camera principles, and mathematical concepts with hands-on experience in implementing these algorithms on embedded or real-time systems.

Key Responsibilities

• Design, develop, and optimise AI Models
• Make custom CNNs/ modify existing CNNs to suit specific problems at hand
• Handle end-to-end training flow
• Implement end to end inference pipelines on standard PCs as well as on embedded systems
• Understand performance benchmarks and assess the accuracy and inference times
• Implement traditional image processing algorithms
• Factor the code to leverage underlying hardware architecture
• Prune the networks for efficiency
• Integrate the system within the application framework using C++
• Work closely with perception, controls, embedded software, and systems engineering teams.

Required Qualifications

• B.E./B.Tech/M.E./M.Tech in Computer Science and Engineering, Electronics, ECE, Mechatronics, or a related discipline.
• 2–3 years of experience in relevant area
• Strong understanding of: Linear Algebra, Probability and Statistics, AI-ML-DL fundamentals, Image processing, Camera Functioning
• Strong programming skills in C++ and Python.
• Experience with MATLAB for algorithm development and validation.
• Familiarity with Linux development environments.
• Experience with Git version control.

Preferred Skills

• Experience with Camera, IMU Calibration and Synchronisation
• Experience with multi-sensor fusion.
• Experience working with NVIDIA devices
• Experience on FPGA will be an added advantage
• Full understanding of Git functionality
• Exposure to airborne software development processes and coding standards (e.g., MISRA C++).

Personal Attributes

• Strong analytical and problem-solving skills.
• Ability to work independently on challenging technical problems.
• Good communication and documentation skills.
• Passion for solving challenging problems
• Willingness to participate in field trials and flight testing.
• Team playwe

Job TItle : Senior Product Design Engineer

Experience : 4 to 8 Years

Location : Bengaluru

Work Mode : Hybrid – 3 Days / Week in Office

Open Positions : 1

Company: B2B SaaS | Series A

About the Role :

We are looking for a Designer-first Product Design Engineer who combines strong product, UI/UX, and visual design expertise with hands-on frontend development skills. You will work closely with Product and Engineering teams to design and build high-quality, production-ready product experiences directly in the codebase.

Mandatory Skills :

Product Design, UI/UX, B2B SaaS, React, HTML, CSS, GitHub, Frontend Development, Design Systems, Product Prototyping.

Key Responsibilities :

• Design and develop production-ready product interfaces using React, HTML, and CSS.
• Create intuitive AI-native experiences, interactions, prototypes, and micro-interactions.
• Collaborate with Product Managers and Engineers throughout the product lifecycle, from concept to launch.
• Build and maintain reusable design systems, UI components, and interaction patterns.
• Own the complete design-to-code workflow, ensuring design quality and consistency in production.
• Work directly within the production codebase and contribute to frontend implementation.
• Evaluate, refine, and maintain the quality of AI-generated frontend code.
• Translate complex product requirements into simple, scalable, and visually polished user experiences.

Must-Have Skills :

• 4 to 8 years of overall experience with 2+ years in Product Design.
• Strong experience designing complex B2B SaaS products/interfaces.
• Hands-on experience with React, HTML, CSS, and GitHub.
• Strong UI/UX, interaction, and visual design capabilities.
• Designer-first profile with strong frontend coding expertise.
• Demonstrated ability to design and code real product prototypes end-to-end.
• Strong portfolio/GitHub showcasing actual product work.
• Excellent English communication and cross-functional collaboration skills.
• Experience working in B2B SaaS or startup environments.

Good to Have :

• Experience with AI-native UI/UX.
• Exposure to agentic workflows and AI-powered products.
• Experience building streaming interfaces or real-time product experiences.
• Background in Design Engineering / Product Design Engineering.
• Experience developing and maintaining scalable design systems.

Not a Suitable Fit :

• Engineer-first profiles with limited product/design ownership.
• Figma/Behance-only portfolios without hands-on coding.
• Candidates whose experience is primarily from large MNC/IT services environments.
• Profiles focused mainly on marketing websites, landing pages, or branding rather than product interfaces.

What We’re Looking For :

A designer who can code, not simply a frontend engineer who can design. The ideal candidate should be comfortable moving from product thinking → UX/UI design → prototype → React implementation → production, with strong ownership of the final user experience.

About Nexora Group

Nexora Group is a technology-driven organization focused on innovation in Artificial Intelligence, IoT, Embedded Systems, Robotics, and next-generation digital solutions. We provide aspiring engineers with opportunities to gain practical experience, work on industry-relevant projects, and develop skills that bridge hardware and intelligent software systems.

Internship Overview

Nexora Group is seeking passionate and innovative Embedded Systems with AI Interns to join our technology team. This internship is designed for students and recent graduates interested in embedded programming, IoT development, edge AI, robotics, and intelligent hardware systems. Interns will work on real-world projects involving microcontrollers, sensors, AI-powered devices, and automation solutions.

Key Responsibilities

• Design, develop, and test embedded applications for intelligent systems.
• Work with microcontrollers and development boards such as Arduino, ESP32, STM32, and Raspberry Pi.
• Integrate sensors, actuators, and communication modules into embedded solutions.
• Develop and deploy AI/ML models for edge devices and IoT applications.
• Assist in building smart automation, robotics, and intelligent monitoring systems.
• Debug, optimize, and troubleshoot hardware and firmware issues.
• Collaborate with software and AI teams to integrate machine learning into embedded platforms.
• Document project architecture, testing results, and technical specifications.
• Research emerging technologies in Edge AI, TinyML, IoT, and Embedded Computing.

Required Skills

• Basic understanding of Embedded Systems and Microcontrollers.
• Knowledge of C, C++, or Python programming.
• Familiarity with Arduino IDE, PlatformIO, Raspberry Pi, or similar development environments.
• Understanding of electronics, sensors, and communication protocols (UART, I2C, SPI, MQTT).
• Basic knowledge of Artificial Intelligence and Machine Learning concepts.
• Strong analytical and problem-solving abilities.
• Good communication and teamwork skills.
• Passion for innovation and hardware-software integration.

Preferred Qualifications

• Experience with IoT, Robotics, Automation, or Embedded Projects.
• Familiarity with TensorFlow Lite, TinyML, Edge AI, or Computer Vision applications.
• Knowledge of PCB design, circuit simulation, or hardware prototyping.
• Participation in technical competitions, hackathons, or research projects.
• GitHub portfolio or project demonstrations showcasing embedded or AI work.

Eligibility

• Undergraduate or postgraduate students pursuing Electronics & Communication Engineering (ECE), Electrical Engineering (EE), Computer Science, Embedded Systems, Mechatronics, Robotics, IoT, AI, or related disciplines.
• Recent graduates seeking practical industry exposure.
• Candidates passionate about intelligent hardware systems and emerging technologies.

What You'll Gain

• Hands-on experience with real-world Embedded Systems and AI projects.
• Exposure to IoT, Edge AI, Robotics, and Smart Device development.
• Mentorship from experienced engineers and technology professionals.
• Internship Completion Certificate.
• Letter of Recommendation based on performance.
• Opportunity for a Pre-Placement Offer (PPO) for outstanding performers.
• Professional networking and career growth opportunities.

Procedure is hiring for WorkHero.

WorkHero is building the AI-powered back office for the skilled trades, starting with the $50B+ HVAC industry. Small contractors are great at their trade but lose 20+ hours a week to invoicing, permits, scheduling, and paperwork. WorkHero combines expert office managers with automation and AI tooling, enabling a small team to take real ownership of that back-office work

We’re hiring a senior engineer to own our real-time voice stack end to end—AI agents operating on live phone calls—and the data platform that turns those calls into insight: call → transcript → events → warehouse → dashboards. You’ll own meaningful systems end to end alongside a small, senior team with deep experience in AI, product, and the trades.

What you’ll build

• New product screens and flows (jobs, customers, invoices, scheduling) in React and React Native, especially AI chat UI (chat & tool result rendering, streaming responses, human review and feedback loops)
• AI workflows in production: tool-using agents, RAG/search, classification/extraction, and human-in-the-loop flows
• Automations: Contribute new features and improvements to our AI-powered business automation platform

In addition, you’ll own our first investments into a realtime voice stack and the call-data platform behind it. For example:

• Realtime voice agents on live phone calls: telephony/WebRTC integration, streaming speech-to-text and text-to-speech, turn-taking, interruption handling, and latency optimization
• Voice pipeline reliability: backpressure, failover, graceful degradation, and monitoring for live calls
• Call-data pipeline: transcripts, events, and structured extraction flowing from every call into the warehouse
• Analytics & dashboards: data modeling and conversation-intelligence features on top of call data
• Evals & monitoring for voice agents: quality metrics, drift detection, and cost/latency tracking
• Cloud infrastructure: scaling our platform with infrastructure as code, queues and orchestration, and CI/CD

Responsibilities

• Analyze requirements and propose innovative AI-native solutions to technical problems
• Write clean scalable code
• Own the voice and data stack end-to-end: design, build, test, deploy, and operate
• Optimize the performance, latency, and cost of our real-time AI systems
• Respond to critical system issues and ensure continuous system reliability
• Mentor team members and collaborate across teams, especially with product and subject matter experts
• Work to understand the needs of our users and think creatively about how to solve design challenges in your work
• This is a Remote role. We expect a minimum 4 hours overlap with the WorkHero team (11 AM - 3 PM ET).

Qualifications

• Senior-level backend experience (typically 5+ years) shipping production systems that you've owned
• Hands-on experience with realtime voice or streaming systems: telephony (SIP/Twilio), WebRTC, streaming STT/TTS, or frameworks like LiveKit or Pipecat — or comparable experience with demanding realtime/streaming infrastructure
• Data engineering fundamentals: event pipelines, data modeling, warehousing, and analytics on production data
• Strong proficiency in a typed backend language (TypeScript preferred; comparable experience welcome)
• Hands-on experience with LLM-powered features (usage, prompting, optimization, etc) and AI architectures
• The ability to work with infrastructure as code (terraform), cloud, and CI/CD systems at scale. We're a small team, so we own the whole stack!
• Excitement to leverage AI coding tools to their maximum benefit. We love Claude Code and Cursor and are constantly looking for better ways to leverage our time to build fast and build for scale.

Nice to have

• experience with voice-AI platforms (Vapi, Retell, Bland, Deepgram, LiveKit) or conversation-intelligence products (e.g. Gong-style analytics)
• experience scaling cloud infrastructure, especially AWS, and how to get the most out of key AWS services
• experience with workflow automation tools like n8n or Lindy
• experience with React for building internal dashboards
• experience with HVAC or back-office business workflows

WorkHero is committed to building a diverse team. We encourage candidates from all backgrounds to apply.

Role: AI Developer

Experience: 3–4 Years

Employment Type: Full-Time

Location: Goregaon, Mumbai

About the Role

We are looking for an experienced AI Developer with 3–4 years of software development experience and strong hands-on exposure to Generative AI, AI Agents, Copilots, and AI-powered application development.

The candidate will be responsible for building production-ready AI solutions, developing agentic workflows, modernizing legacy applications, and integrating LLM capabilities into enterprise applications.

Key Responsibilities

• Design, develop, and deploy AI Agents and agentic workflows for enterprise use cases.
• Build AI Copilots and LLM-powered applications using modern AI frameworks and APIs.
• Develop RAG-based applications using embeddings, vector databases, and enterprise data.
• Work on legacy application migration and modernization, leveraging AI-assisted development and code transformation techniques.
• Analyze legacy codebases and design strategies for AI-driven migration, refactoring, and modernization.
• Integrate LLMs with enterprise applications, APIs, databases, and third-party systems.
• Implement tool calling, function calling, multi-agent workflows, and workflow automation.
• Perform prompt engineering, context optimization, model evaluation, and AI application testing.
• Take ownership of AI solutions from POC and prototyping through production deployment.
• Collaborate with product managers, architects, and engineering teams to convert business requirements into scalable AI solutions.
• Stay updated with emerging technologies in Generative AI, Agentic AI, LLMs, and AI-assisted software development.

Required Skills

• 3–4 years of professional software development experience.
• Strong proficiency in Python and/or JavaScript/TypeScript.
• Hands-on experience developing Generative AI / LLM-based applications.
• Strong understanding of AI Agents, RAG, Prompt Engineering, LLM APIs, and embeddings.
• Experience with frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or equivalent.
• Experience working with REST APIs, databases, Git, and cloud environments.
• Hands-on experience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, or equivalent.
• Good understanding of software architecture, debugging, testing, and deployment practices.

Good to Have

• Experience with Microsoft Copilot / Copilot Studio.
• Experience working with Claude, OpenAI, Gemini, Azure OpenAI, or open-source LLMs.
• Experience in legacy application migration, modernization, or code conversion.
• Knowledge of Azure AI / AWS / Google Cloud AI services.
• Experience with MCP, multi-agent systems, tool calling, and AI orchestration.
• Experience building enterprise-grade AI solutions with focus on security, scalability, and performance.