11+ EMC SRM Jobs in Bangalore (Bengaluru) | EMC SRM Job openings in Bangalore (Bengaluru)

MANDATORY CRITERIA:

• Education: B.Tech / M.Tech in ECE / CSE / IT
• Experience: 10–12 years in hardware board design, system hardware engineering, and full product deployment cycles
• Proven expertise in digital, analog, and power electronic circuit analysis & design
• Strong hands-on experience designing boards with SoCs, FPGAs, CPLDs, and MPSoC architectures
• Deep understanding of signal integrity, EMI/EMC, and high-speed design considerations
• Must have successfully completed at least two hardware product development cycles from high-level design to final deployment
• Ability to independently handle schematic design, design analysis (DC drop, SI), and cross-team design reviews
• Experience in sourcing & procurement of electronic components, PCBs, and mechanical parts for embedded/IoT/industrial hardware
• Strong experience in board bring-up, debugging, issue investigation, and cross-functional triage with firmware/software teams
• Expertise in hardware validation, test planning, test execution, equipment selection, debugging, and report preparation
• Proficiency in Cadence Allegro or Altium EDA tools (mandatory)
• Experience coordinating with layout, mechanical, SI, EMC, manufacturing, and supply chain teams
• Strong understanding of manufacturing services, production pricing models, supply chain, and logistics for electronics/electromechanical components

DESCRIPTION:

COMPANY OVERVIEW:

The company is a semiconductor and embedded system design company with a focus on Embedded, Turnkey ASICs, Mixed Signal IP, Semiconductor & Product Engineering and IoT solutions catering to Aerospace & Defence, Consumer Electronics, Automotive, Medical and Networking & Telecommunications.

REQUIRED SKILLS:

• Extensive experience in hardware board designs and towards multiple product field deployment cycles.
• Strong foundation and expertise in analyzing digital, Analog and power electronic circuits.
• Proficient with SoC, FPGAs, CPLD and MPSOC architecture-based board designs.
• Knowledgeable in signal integrity, EMI/EMC concepts for digital and power electronics.
• Completed at least two project from high-level design to final product level deployment.
• Capable of independently managing product’s schematic, design analysis DC Drop, Signal Integrity, and coordinating reviews with peer of layout, mechanical, SI, and EMC teams.
• Sourcing and procurement of electronic components, PCBs, and mechanical parts for cutting-edge IoT, embedded, and industrial product development.
• Experienced in board bring-up, issue investigation, and triage in collaboration with firmware and software teams.
• Skilled in preparing hardware design documentation, validation test planning, identifying necessary test equipment, test development, execution, debugging, and report preparation.
• Effective communication and interpersonal skills for collaborative work with cross-functional teams, including post-silicon bench validation, BIOS, and driver development/QA.
• Hands-on experience with Cadence Allegro/Altium EDA tools is essential.
• Familiarity with programming and scripting languages like Python and Perl, and experience in test automation is advantageous.
• Should have excellent exposure with coordination of Manufacturing Services, pricing model for production value supply chain & Logistics in electronics and electromechanical components domain.

AI/ML Engineer AI Operating System for Capital Markets Location Bangalore/Chennai Experience 5+ years Function Artificial Intelligence / Machine Learning Employment Type About Transient.AI Full-time Transient.AI is building a next-generation AI Operating System for capital markets — a unified intelligence layer that connects research, trading, compliance, and sales functions at banks and hedge funds. Today, these teams largely operate on disconnected legacy systems, forcing manual, expensive workarounds. Transient.AI replaces that fragmentation with a single AI-native layer built for institutional-grade compliance, security, and auditability. The company already has live products in market, including Caddie.AI (a research automation tool that cuts hedge fund research time significantly), ClarityRIA (helping sales teams identify the right investors in seconds), and CapFlo.AI (automated parsing of complex derivatives contracts). Founded by former traders and technologists from Goldman Sachs, Credit Suisse, UBS, and McKinsey, Transient.AI is headquartered in New York, with teams in Miami, Singapore, and India. The company has raised Series A funding and is scaling its engineering and product organization globally. Role Overview Transient.AI is hiring an experienced AI/ML Engineer to join its India engineering team in Bangalore/Chennai. This is a hands-on, build-from-scratch role — you'll be designing and shipping the core machine learning systems that power the company's flagship products, working closely with founders and senior engineers rather than inheriting existing infrastructure. Key Responsibilities • Design, build, and deploy machine learning and AI models that power Transient.AI's core products (research automation, document intelligence, investor matching, and workflow orchestration). • Workonapplied NLP/LLMsystems, including retrieval-augmented generation, structured extraction from unstructured financial documents, and model evaluation pipelines. • Partner closely with product and founding engineers to translate capital markets workflows into scalable AI systems. • Ownmodelperformance, reliability, and cost — from experimentation through production deployment. • Build and maintain data pipelines, feature stores, and evaluation frameworks to support rapid iteration. • Ensuresystems meet the compliance, auditability, and security standards required in regulated financial environments. What We're Looking For • 5+years ofexperience building and deploying machine learning or AI systems in production.• Strong hands-on experience with Python and modern ML/AI frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, or equivalent). • Experience with LLMs — fine-tuning, prompt engineering, RAG architectures, or agentic systems — is highly valued. • Solid grounding in data structures, distributed systems, and MLOps practices (model serving, monitoring, versioning). • Prior experience at a strong product company, high-growth startup, or a top-tier engineering background • Comfort operating in an early-stage, high-ownership environment with limited process and high ambiguity. • Exposure to fintech, capital markets, or other regulated industries is a plus, though not mandatory. WhyJoin Transient.AI • Build core AI systems from the ground up — not maintain legacy code. • Workdirectly with founders who have deep, first-hand Wall Street experience (Goldman Sachs, Credit Suisse, UBS, McKinsey). • JoinaSeries A-funded company solving a real, expensive problem for institutional finance. • Bepart ofasmall, global team with outsized ownership and impact. .

Key Responsibilities

1. Kernel Lifecycle & Maintenance

Upstream Alignment: Lead the strategy for upgrading enterprise kernels (e.g., migrating from LTS 5.15 to 6.6) while maintaining binary compatibility where required.

Patch Porting: Expertly port functional and performance patches between disparate kernel versions, resolving complex code conflicts and API changes.

CVE Mitigation: Monitor the Linux Kernel Mailing List (LKML) and security advisories to identify and backport CVE patches from upstream to production environments.

2. Deep-Dive Debugging & Stability

Panic Analysis: Act as the final escalation point for Kernel Panics and "Oops" messages. Utilize kdump, crash, and gdb to perform post-mortem analysis of vmcores.

Boot-Time Resolution: Debug critical failures during the early boot process (UEFI handoff, initramfs, and early kernel init) where standard logging is unavailable.

Performance Tuning: Use ebpf, ftrace, and perf to identify bottlenecks in memory management, scheduler latency, or I/O throughput.

3. Driver Development & Hardware Integration

Driver Ownership: Design, develop, or maintain at least one Open Source or Proprietary Device Driver (Network, Storage, GPU, or Character devices).

Hardware Abstraction: Interface directly with hardware registers, managing DMA mappings, and optimizing interrupt handling (MSI-X, Threaded IRQs).

Out-of-Tree Management: Maintain driver compatibility across kernel updates using DKMS or similar frameworks.

4. Infrastructure & Automation

Registry Management: Oversee the distribution of custom kernel builds and modules via GitLab Container/Package Registries.

CI/CD for Kernel: Build automated testing pipelines (Hardware-in-the-loop) to validate kernel stability before enterprise-wide deployment.

Required Technical Skills:

Languages: Mastery of C/C++ Programming (C is preferred)

Kernel Internals: Deep understanding of VFS, Memory Management (MMU/Paging), Process Scheduling, and Networking Stacks.

Debugging Tools: Expert-level use of kprobes, trace-cmd, valgrind, and hardware-level debuggers (JTAG/Serial Console).

Build Systems: Proficiency with Kbuild, Makefiles, and building RPM/Debian packages for kernel distribution.

Security: Hands-on experience with SELinux/AppArmor policy development and kernel hardening (FIPS, KSPP).

Cybersecurity Analyst – Job Description

Responsibilities:

• Monitor and respond to security incidents across networks and systems.
• Conduct vulnerability assessments and penetration testing.
• Implement and manage security tools like firewalls, IDS/IPS, and antivirus.
• Ensure compliance with security standards (e.g., ISO 27001, NIST).
• Prepare reports and recommend mitigation strategies.

Tools Often Used:

• Nessus for vulnerability scanning.
• Metasploit for exploit development and testing.
• Burp Suite and OWASP ZAP for web application security testing.

Skills: ETL+ SQL

· Experience with SQL and data querying languages.

· Knowledge of data governance frameworks and best practices.

· Familiarity with programming/scripting languages (e.g., SparkSQL)

· Strong understanding of data integration techniques and ETL processes.

· Experience with data quality tools and methodologies.

· Strong communication and problem-solving skills

Detailed JD: Data Integration: Manage the seamless integration various data lake, ensuring that jobs are running as expected, validate the data ingested , track the DQ checks , rerun/reprocess the jobs in case of failures post figuring out the RCAs

Data Quality Assurance: Monitor and validate data quality during and after the migration process, implementing checks and corrective actions as needed.

Documentation: Maintain comprehensive documentation related to data issues encountered during the weekly/monthly processing and operational procedures.

Continuous Improvement: Recommend and implement improvements to data processing, tools, and technologies to enhance efficiency and effectiveness.

• Work closely with Product Managers to drive product improvements through data-driven decisions.
• Conduct analysis to determine new project pilot settings, new features, user behavior, and in-app behavior.
• Present insights and recommendations to leadership using high-quality visualizations and concise messaging.
• Own the implementation of data collection and tracking, and coordinate with the engineering and product team.
• Create and maintain dashboards for product and business teams.
• Lead and own the analysis of highly complex data sources, identifying trends and patterns in data, and provide insights/recommendations based on analysis results
• Track feature success of new launches, and set systems to identify causation of change in metrics post every release.
• Deep dive on experiment results, and present insights for the supporting the subsequent product decisions.

Responsibilities

· Developing user-facing applications using Vue.js

· Building modular and reusable components and libraries

· Optimizing your application for performance

· Implementing automated testing integrated into development and maintenance workflows

· Staying up to date with all recent developments in the JavaScript and Vue.js space

· Keeping an eye on security updates and issues found with Vue.js and all project dependencies

· Proposing any upgrades and updates necessary for keeping up with modern security and development best practices

What we need in you?

· Highly proficient with the JavaScript language and its modern ES6+ syntax and features

· Highly proficient with Vue.js framework and its core principles such as components, reactivity, and the virtual DOM

· Familiarity with the Vue.js ecosystem, including Vue CLI, Vuex, Vue Router, and Nuxt.js

· Good understanding of HTML5 and CSS3, including

· Understanding of server-side rendering and its benefits and use cases

· Knowledge of functional programming and object-oriented programming paradigms

· Ability to write efficient, secure, well-documented, and clean JavaScript code

· Familiarity with automated JavaScript testing, specifically testing frameworks such as Jest or Mocha

· Proficiency with modern development tools, like Babel, Webpack, and Git

· Experience with both consuming and designing RESTful APIs