11+ ECAD Jobs in Bangalore (Bengaluru) | ECAD Job openings in Bangalore (Bengaluru)

Relevant Experience: 2-5 years

The position is responsible to carry out product design, tests and other related activities as allocated. Working as a member within the current hardware engineering team, who collectively execute all the necessary activities to design, improve and optimize customer projects and production - especially the reliability and robustness aspects.

Requirements:

1. Graduate in Electronic Engineering or equivalent Minimum 3-5 years working experience in a similar industry Self-driven individual with hands-on skills.
2. Experience of Embedded Electronic Digital, Analog, Power electronic design.
3. Familiarity with ECAD tools for schematic capture, simulation, component selection, PCB design.
4. Experience of design for EMI/EMC.
5. Create manufacturing deliverables for prototypes and production.
6. Application of Design for Manufacturability (DFM) and Design for Testability (DFT) techniques.
7. Experience of debugging and fault finding in new and existing designs.
8. Experience of failure analysis and design review.
9. Experience with tools like Cadence or ORCad.
10. Creation of RFQ package for EMS provider and qualification of offers.
11. Experience of project/task planning.
12. Knowledge of project management tools.
13. Well versed with usage of test equipment like Multimeter, Oscilloscope and maintenance of laboratory equipment.
14. Familiarity with EMI, EMC, Environmental, Mechanical standards and type tests.

Location: Bangalore

Experience: 3-5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most companies are using LLMs.

Very few are building an advantage from them.

Right now, LLM cost is our largest margin constraint, and model behavior is still too generic to be defensible.

This role exists to:

• Turn LLM usage into a cost-efficient system
• Build compounding intelligence across accounts
• Create a differentiated analysis layer that competitors can’t replicate

What you’ll do

You will not just build models.

You will own the intelligence and cost structure of the platform.

1. Drive down LLM cost dramatically

• Reduce cost per interaction from ₹40 → ₹2 within 6 months
• Implement:
• Model tiering (right model for the right task)
• Caching strategies (semantic + response caching)
• Batching and async processing
• PTU / reserved capacity optimization
• Ensure performance does not degrade while reducing cost

2. Optimize infrastructure spend

• Reduce cloud spend from ₹20L/month → ₹4L/month
• Work across infrastructure layers (Azure / compute / inference)
• Balance:
• Latency
• Cost
• Throughput
• Treat infra as a first-class optimization problem

3. Build the fine-tuning and learning pipeline

• Design systems where:
• Every interaction improves future performance
• Build pipelines for:
• Fine-tuning
• Feedback loops
• Continuous model improvement
• Ensure the 5th customer deployment is structurally better than the 1st

4. Create a differentiated intelligence layer

• Build analysis systems that:
• Extract signals from interactions
• Improve decision-making
• Drive outcome improvements
• Move beyond responses → insight + action

5. Enable new AI-native product categories

• Identify opportunities where:
• AI enables workflows that were not previously possible
• Build foundational ML capabilities to unlock those categories
• Focus on creation, not just efficiency

6. Commoditize LLM usage internally

• Abstract complexity of LLM usage from product teams
• Build internal systems where:
• Cost is predictable
• Performance is consistent
• Make LLM usage a reliable utility layer

What success looks like

• Cost per interaction drops to ₹2 or lower
• Infrastructure spend reduces 5x without performance loss
• Model performance improves with every deployment
• Platform develops a clear intelligence advantage
• New AI-native capabilities become possible due to your systems

Who you are

• You have 3-5 years of experience in ML / applied AI / systems engineering
• You have worked with:
• LLMs
• Inference optimization
• Production ML systems
• You think in:
• Systems
• Trade-offs (cost vs latency vs quality)
• You care about real-world impact, not just model metrics

What will make you stand out

• Experience with:
• LLM optimization (prompting, fine-tuning, distillation)
• Distributed systems or infra-level optimizations
• High-scale inference systems
• Built systems that:
• Reduced cost significantly
• Improved performance over time
• Strong understanding of:
• Caching strategies
• Model routing
• Evaluation frameworks

Why join

• You will directly impact company margins and scalability
• Your work defines whether we have a defensible ML advantage
• You will build systems that move from:
• Generic AI usage → compounding intelligence

What this role is not

• Not research-only
• Not experimentation without production impact
• Not isolated from product and business outcomes

What this role is

• A builder of ML systems at scale
• A driver of cost and performance optimization
• A creator of long-term competitive advantage

One question to self-evaluate

Can you build ML systems that get cheaper, smarter, and more valuable with every interaction?

Exp: 5+ Years

CTC: up 20 LPA

Location: Bangalore

Looking for a Shopify Plus developer with over 5+ years of experience, based in Bangalore, and available to work from our office.

Responsibilities

The ideal candidate should have strong experience in

• Shopify Plus admin portal development
• Custom Shopify app development, especially for checkout and other templates
• Writing GraphQL queries
• Liquid, JavaScript, and CSS development

• Create/modify scripts using a scripting language such as Perl and the Bitbucket REST API to disable users who have not logged in within a certain timeframe, and to monitor user project/repo permissions based on last commit date/time.
• Every 3 months, run the Jenkins jobs to reprovision the Bitbucket test servers, verify Bitbucket functions properly, then plan and execute the reprovisioning of the production Bitbucket servers
• Every 2 years, plan, install and deploy the latest Bitbucket version in our test environment, updating the Terraform code and Artifactory as required. Upgrade all plugins, test thoroughly, and work with various development teams to have them test as well. Once testing is complete and sign-off has been achieved, plan and run the Jenkins jobs to deploy the latest version of Bitbucket to the production servers.
• Create scripts using a scripting language such as Perl and the Confluence and/or Atlassian Access REST API to disable users who have not logged in within a given amount of time
• Good to have knowledge on BigPicture, EasyBI, Report2Web

Critical Skills to Possess:

• 5+ years of experience in JIRA administration and Bitbucket 
• Experience in Jira, Bitbucket application upgrade on data center.
• Experience re-provisioning of Bitbucket using Jenkins.
• Excellent in Groovy, Java scripting and Perl.
• Experience in SSO implementation on Atlassian tool
• Experience in Atlassian and third part application integration.
• Strong problem solving and analytical skills to solve problems at their root.
• Excellent time management and prioritization of tasks

Must have: ATLASSIAN PTY LTD Ver 7.17.0, Atlassian Cloud, ATLASSIAN PTY LTD Ver 8.6.1 Perl/Python, VB Script, Bitbucket REST API, Bitbucket SSH API, JQL

Good to have: Tomcat, Git, SourceTree, Linux, Terraform, Azure AD SSO, Oracle DB

Preferred Qualifications:

BS degree in Computer Science or Engineering or equivalent experience

Roles & Responsibilities

Roles and Responsibility:

1. Upgrade & Maintenance Expertise

• Proven experience upgrading Jira and Bitbucket (Server or Data Center):
• Integration with Jira and webhook/API-based automation
• Perform pre-upgrade tests and staging environment setup
• Apply patches, hotfixes, and troubleshoot upgrade failures.
• YAML configuration for builds, tests, deploys.

2. System Administration

• Proficiency with Linux/Unix OS (file systems, services, shell scripting)
• Manage file permissions, processes, and system logs
• Deep understanding of project configurations (schemes, workflows, screens, custom fields)
• Advanced Jira workflow design (including conditions, validators, post-functions)
• Automation using Groovy scripting 

3. Network Config, Authentication & Security

• Manage SSL certificates, custom domains, and HTTPS configurations
• Integration with LDAP / Active Directory and troubleshooting of SAML SSO (Okta, Azure AD, etc.)

4. CI/CD Pipelines (Bitbucket Pipelines):

• Running pipeline for the OS remediation

• A minimum of 4-5 years of experience in IoT engineering, embedded systems, or related fields.
• Strong technical knowledge of IoT technologies, including sensors, communication protocols (such as MQTT, CoAP, and HTTP), microcontrollers, and cloud platforms.
• Experience in programming languages such as Python, C/C++, JavaScript, or similar, as well as experience with IoT platforms like Arduino, Raspberry Pi, AWS IoT, or Azure IoT.
• Proven experience in designing and developing IoT solutions for real-world applications.
• Excellent problem-solving skills with the ability to innovate and create new IoT-based educational content.
• Strong understanding of data analytics, machine learning, and data visualization tools.
• Knowledge of cybersecurity practices related to IoT devices and networks.
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to a diverse audience.
• Ability to work independently and manage multiple projects and responsibilities simultaneously.
• Passion for education, technology, and the future of connected systems.
• Self-motivated, proactive, and adaptable to a fast-paced educational environment.

Hands-on experience in Autosar methodologies and workflows.

• Sound understanding of embedded SW development using C on 32/64 bit microcontrollers.

• Experience in at least one of microcontroller architectures: Renesas RH family, Tricore or PowerPC architecture.

• Automotive Product Development Process knowledge (ASpice, ISO26262)

• Experience in one or more of Autosar BSW Modules stacks.

• Autosar based SWcs development in any domain of cluster, ADAS and IVI system.

• Com stack (FlexRay, CAN, LIN, Ethernet) / Memory Stack/ Diagnostic stack/ OS, Wdg, other services.

• Working knowledge on AUTOSAR ECU software architecture

• Understand the various features provided by AUTOSAR BSW modules and configure BSW modules in Davinci Configurator or similar tools

• Understand the AUTOSAR application (SW-C) configuration and the interaction of AUTOSAR applications (SW-C) with the underlying BSW modules

• Understand the functionality of RTE, mapping of application entities with BSW module parameters, OS scheduling concepts, ECU and BSW module state changes

• Understand the AUTOSAR methodology (ECU extract contents, import of ECU extract into configuration tool)

Understand the flow of the AUTOSAR software from application till the underlying driver.

What you need to have:

Develop firmware, system software for medical devices\ Automotive ECUs\ IoT edge devices & gateways.  Implement the logic and protocols and communications on 32-bit microcontrollers, configure OS, timers, tasks, interrupts, and communicate with external modems, SoCs, trans-receivers to design, code, and test desired functionality as per customer requirements

Job Requirements :

• Hands-on experience in firmware development using C language
• Hands-on experience in writing low-level device drivers for microcontrollers
• Know of real-time Operating system concepts, tasks, and interrupts’ configuration
• Hands-on experience with in-circuit debuggers
• Knowhow of wired and wireless communication protocols 
• Basic understanding of HW circuits, power supply designs, sensors, and actuators’ interfaces
• Experience in implementing SW development quality processes like ISO 9001 or ASPICE
• Good written and oral communication skills

• Experience in Windows NDIS networking driver development.
• Experience in developing and maintaining of Network drivers and/or IWARP drivers and/or TCP offload drivers and/or iSCSI drivers and/or FCoE drivers is preferable.
• Experience in analyzing and debugging kernel crash dumps.

• RDMA/IWARP/RoCE, TCP offload, iSCSI, FCoE, FC, Networking device drivers.
• Good knowledge in TCP/IP.
• Performance tuning, crash dump analysis, solving critical customer issues