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Nanoprecise Sci Corp

Security Engineer (3+Years)

Actively Reviewing

Nanoprecise Sci Corp

India Full-Time 4–8 yrs exp Posted 4 hours ago  · Apply by Sep 14, 2026

Company Description

Nanoprecise Sci Corp is a leader in AI-driven predictive maintenance solutions, supporting early detection of changes in machine operations to prevent downtime and maintain productivity. Specializing in Artificial Intelligence and IIoT technology, the company helps manufacturers reduce operational inefficiencies and their carbon footprint. Through its advanced energy efficiency and health analytics platform, Nanoprecise sets the standard for monitoring and analyzing industrial assets. The company collaborates with organizations across various industries to advance their Industry 4.0 initiatives. Connect with us at [email protected] to learn more.


About the Role

Nanoprecise Sci Corp is building the security spine of a next-generation IoT + AI platform used across industrial and enterprise environments. We are looking for a seasoned Security Engineer who combines deep technical offensive and defensive expertise with the ability to architect, automate, and scale security programs across firmware, cloud, AI systems, and wireless infrastructure.

You will own the security posture of our embedded hardware, CI/CD pipelines, AI implementations, and network perimeter — with a mandate to shift security left, operationalize threat intelligence, and mentor a growing team.


Key Responsibilities

AI Security

  • Design and enforce security controls for all internal and external AI/LLM deployments
  • Conduct threat modeling on AI pipelines using MITRE ATLAS and STRIDE frameworks
  • Implement prompt injection defenses, output filtering, and AI audit logging
  • Lead shadow AI discovery programs and define acceptable use policies
  • Perform red teaming exercises against AI models and RAG systems


DevSecOps

  • Own the end-to-end security of CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins)
  • Integrate SAST (Semgrep, CodeQL), DAST (OWASP ZAP, Burp Suite), SCA (Snyk, Dependabot), and secrets scanning (TruffleHog, Gitleaks)
  • Implement policy-as-code using OPA/Gatekeeper for Kubernetes and IaC environments
  • Establish container security standards: image signing (Cosign/Notary), runtime policy (Falco), RBAC hardening
  • Drive developer security training and threat modeling in sprint planning


Firmware Reverse Engineering & Embedded Security

  • Lead firmware security assessments on IoT and edge devices using Ghidra, IDA Pro, Binwalk, Radare2
  • Design and enforce secure firmware development lifecycle: signed OTA, secure boot, encrypted comms
  • Develop and maintain UART/JTAG/SPI flash extraction capabilities
  • Perform vulnerability research on embedded Linux, RTOS, and bare-metal firmware
  • Produce actionable firmware security findings with CVSS-scored remediation roadmaps


Wireless & Network Security

  • Conduct WiFi penetration tests across enterprise WPA2/WPA3, 802.1X, and guest network segments
  • Assess IoT wireless protocols: BLE, Zigbee, LoRa, Z-Wave for security weaknesses
  • Deploy and tune Wireless Intrusion Detection Systems (WIDS)
  • Develop wireless hardening standards and migration roadmaps (e.g., PSK → 802.1X)
  • Investigate rogue AP incidents, PMKID captures, and deauthentication attacks


Security Architecture & Operations

  • Design Zero Trust network architecture with microsegmentation and identity-aware access
  • Own SIEM integration (Splunk, Elastic, Sentinel) and threat intelligence operationalization
  • Lead incident response for security events across firmware, cloud, AI, and wireless layers
  • Produce executive-level risk reports translating technical findings into business impact


Required Qualifications & Domain Expertise

  • 3+ years in security engineering, with demonstrable expertise across at least 3 of the 4 core domains (AI security, DevSecOps, firmware RE, wireless pentesting)
  • Deep hands-on experience with firmware analysis toolchains: Ghidra, IDA Pro, Binwalk, Firmwalker, QEMU/Firmadyne
  • Proven WiFi/wireless pentesting skills: Aircrack-ng, Kismet, Bettercap, Hostapd, Wireshark, HCXTOOLS
  • Strong DevSecOps pipeline experience: SAST/DAST/SCA integration, secrets management, IaC security
  • Experience securing AI/ML systems and LLM-powered applications in production environments
  • Familiarity with MITRE ATT&CK, MITRE ATLAS, OWASP LLM Top 10, NIST AI RMF
  • Strong scripting skills: Python, Bash; familiarity with Go or Rust is a plus 
  • Relevant certifications preferred: OSCP, OSWP, GREM, GWAPT, CKS, or equivalent


Why This Role Matters

This role will define how our organization secures AI-powered products from chip to cloud. You will directly influence the security architecture of devices deployed in critical industrial environments, protect AI systems used by thousands of enterprise users, and build the DevSecOps culture that enables us to ship secure software fast.

Your work will prevent breaches, protect customer data, and ensure our AI implementations remain trustworthy, auditable, and resilient against emerging threats.


KPIs for the Role

DevSecOps & Pipeline Security (35%)

  • 100% of production pipelines with full security gate coverage within 6 months
  • MTTR for critical pipeline vulnerabilities < 48 hours
  • Zero high-severity secrets leak incidents per quarter


AI Security (35%)

  • AI security assessment coverage: 100% of production AI systems assessed within first 90 days
  • Shadow AI discovery: < 5 unmanaged AI tools in use at any time
  • Prompt injection detection rate: > 95% of known attack patterns blocked


Firmware & Hardware Security (20%)

  • 100% of new device firmware reviewed before production deployment
  • Mean time to patch firmware CVEs: < 30 days for critical, < 90 days for high
  • Secure boot and OTA signing coverage: > 95% of deployed device fleet


Wireless Security (10%)

  • 100% of enterprise WiFi migrated to WPA3/802.1X within 12 months
  • Rogue AP mean time to detection and containment: < 4 hours
  • Wireless security assessment: 100% of new sites assessed before go-live


Great reasons to apply to Nanoprecise

  • Exciting and dynamic environment with a great leadership team
  • Work at the frontier of AI security — a discipline that barely existed five years ago and is evolving rapidly
  • Direct mentorship from senior security and AI professionals in a team that invests in people
  • Remote-first, flexible working environment with a collaborative and low-ego team culture
  • Regular performance reviews to facilitate your success
  • Competitive compensation based on experience and proven abilities
  • A global workforce of multi-cultural and talented colleagues
  • Amazing growth opportunities for your personal development
  • Access to our health Insurance program and so much more!
  • Flexible working hours
  • Great paid time off


Note

  • Nanoprecise Sci Corp is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture that does not discriminate based on disability, status, or any other basis protected under legislation.
  • We thank all applicants in advance for their interest in this position however due to the volume of applications we receive, we are unable to respond to each application via phone, email, or agency inquiries.