Hardware Architect
Niyam IT- 4 - 5 yrs
- 34,000 - 36,800 / month
-
Full Time
Working Type : Work From Office
Job Description :
Job Description
Automotive High-Speed Hardware Design Engineer. We are seeking an experienced Automotive High-Speed Hardware Design Engineer to lead the design and development of advanced electronic control and compute platforms for ADAS, Cockpit, IVI, and Connectivity systems. The role involves working on SoC-based, ASIL-D compliant hardware, with focus on high-speed interfaces, thermal design, signal and power integrity (SI/PI), and multi-sensor integration (camera, radar, LiDAR, fusion).The candidate will collaborate closely with system architects, PCB designers, mechanical, and software teams to deliver production-grade hardware solutions for next-generation automotive platforms.Key Responsibilities:• Lead hardware design and development for ADAS, Cockpit, and Connectivity ECUs, from concept to production.• Design high-speed digital boards with advanced SoCs, DDR4/DDR5, LPDDR interfaces, PCIe, Ethernet (RGMII/SGMII/RMII/10G), USB, MIPI CSI/DSI, and SerDes.• Perform schematic design, component selection, and BOM optimization ensuring automotive-grade reliability and cost efficiency.• Conduct Signal Integrity (SI) and Power Integrity (PI) analysis for critical high-speed signals and power rails.• Support thermal design and validation, collaborating with mechanical and thermal engineers to ensure performance under harsh automotive conditions.• Ensure ASIL-D compliance (ISO 26262) for safety-critical designs; participate in FMEA, FMEDA, and safety architecture reviews.• Interface with camera, radar, LiDAR, and sensor fusion modules, ensuring signal quality, timing, and synchronization.• Collaborate with PCB layout engineers for constraint-driven designs (impedance, stack
Enterprise Application Architect
Niyam IT- 5 - 6 yrs
- 40,000 - 48,000 / month
-
Full Time
Working Type : Work From Office
Job Description :
Job Description
We are seeking an experienced Enterprise Application Architect to lead the modernization of enterprise applications into scalable, resilient, and cloud-ready platforms using the Microsoft technology stack. This role focuses on end-to-end architecture ownership, modernization strategy, and governance, going beyond delivery to ensure long-term platform sustainability. The architect will work closely with business stakeholders, product owners, internal engineering teams, and external vendors to define and drive the technical vision. The ideal candidate combines deep hands-on .NET expertise, strong understanding of modern architectural patterns, and proven experience in modernizing legacy systems into contemporary architectures, while acting as a technical authority across programs.Key Responsibilities:• Architecture & Modernization Leadership • Own the end-to-end modernization strategy for legacy enterprise applications. • Define target architecture, reference patterns, and modernization roadmaps for .NET-based systems. • Lead transformation from monolithic architectures to modular, service-oriented, and cloud-ready designs. • Evaluate technical debt and drive structured refactoring and re-architecture initiatives. • Establish reusable architecture patterns and standards across applications. Hands-on Technical Contribution:• Remain hands-on with .NET (Framework and .NET 9/10) codebases for critical components.
Cost engineering and Benchmarking
Stargate- 5 - 6 yrs
- 44,000 - 48,000 / month
-
Full Time
Working Type : Work From Office
Job Description :
Job Description
Job Description:Detailed Product studyProduct and component cost estimation - Greenfield & Brownfield (Sales Price, Design to cost (D2C), Nego calculations, RPP etc.)Holistic view on Cost Engg methods and processesTeardown AnalysisTechnical study i.e. manufacturing process, design features, materials etc.Predicting assembly techniques and sequencesProduct comparison & detailed documentationSupplier interactions, vendors discussions Required skills:Knowledge on manufacturing & assembly process (Exposure on one core manufacturing process)- Machining, Forging, Casting etc.Knowledge on Mechanical and Electronics preferrable (Electro-Mechanical)Good Knowledge on Gen-AI and Digitalization tools (Added advantage)Knowledge on tool design and manufacturing (Molds, Casting & Press tool - Added Advantage)Knowledge in GD&T, drawing reading capabilityMeasurement techniques knowledgeProduct development process / cycle understandingExposure to competitor tracking (Added advantage)Product cost structure understandingKnowledge on Microsoft excel, PresentationGood problem solving & analytical capabilitiesIdentify & suggest process improvement ideasGood communication and interpersonal skills
AI Security Engineer
Stargate- 3 - 4 yrs
- 30,000 - 35,000 / month
-
Full Time
Working Type : Work From Office
Job Description :
AI Identity, Authentication & Authorization
- Extend identity and access principles to non‑human identities and autonomous agents.
- Treat AI agents as first‑class identities, defining authentication, authorization, lifecycle management, and revocation.
- Implement delegated and “on‑behalf‑of” authorization patterns to distinguish human‑initiated actions from agent‑initiated actions.
- Apply least‑privilege and scope‑limiting controls to prevent privilege escalation in automated and multi‑agent workflows.
Threat Modeling & Risk Reduction
- Identify and mitigate AI‑specific risks including data leakage, prompt injection, jailbreaks, model abuse, data poisoning, model extraction, and AI supply‑chain risk.
- Ensure appropriate security testing and validation is embedded into AI development and deployment workflows.
Monitoring & Incident Readiness
- Define logging, monitoring, and detection requirements for AI systems, models, and agent activity.
- Partner with SecOps to ensure AI‑related events are observable, auditable, and actionable.
- Support incident response and post‑incident analysis for AI‑related security events.
Cross‑Functional Delivery
- Work closely with IAM, SecOps, AppSec, GRC, IT engineering, AI platform teams, and business stakeholders to embed security controls where they belong.
Data Security Engineering (Secondary – ~30%)
Data Protection & Governance
- Design and enhance enterprise data security controls with a focus on AI‑driven data access.
- Implement and optimize Microsoft Purview, including data classification, sensitivity labeling, DLP, information protection, and visibility.
AI‑Aware Data Security
- Ensure data security controls are aligned to AI architectures, reducing risk of sensitive data exposure via prompts, agents, outputs, and downstream sharing.
- Support secure use of enterprise data in RAG pipelines, AI workflows, and training environments.
Multi‑Platform Data Flows
- Contribute to data protection strategies across collaboration platforms, cloud services, and endpoints, ensuring consistent enforcement where possible.