Product & Application Security Engineer

About Sungrow:
Sungrow Power Supply Co., Ltd. (“Sungrow”) is a global leading PV inverter and ESS provider with 515 GW of power electronic converters installed worldwide as of December 2023. Founded in 1997 by University Professor Cao Renxian, Sungrow leads in the research and development of solar inverters with the largest dedicated R&D team in the industry and a broad product portfolio offering PV inverter solutions and ESS for utility-scale, commercial & industrial, and residential applications, as well as internationally recognized floating PV plant solutions, NEV driving solutions, EV charging solutions, and renewable hydrogen production systems. With a strong 27-year track record in the PV space, Sungrow products power in 170 countries and regions worldwide. For more information, visit: www.sungrowpower.com.

The Position:
Sungrow Americas is seeking a Product and Application Security Engineer to execute security across the full product ecosystem - - spanning firmware, embedded systems, hardware-integrated applications, cloud services, and connected platforms.

This role is responsible for deep technical security execution across the entire product lifecycle, ensuring that security is embedded from device to cloud to application layer.

You will serve as the hands-on technical authority, working directly with engineering teams to identify, validate, and remediate vulnerabilities across software, firmware, hardware interfaces, and system integrations.

This is a high-depth, cross-domain role, ideal for an engineer who can move fluidly between code, devices, protocols, and cloud architectures.

Key Responsibilities

Full-Stack Product Security

• Perform security assessments across:
  • Applications (web, APIs, backend services)
  • Firmware and embedded systems
  • Hardware interfaces and device communications
  • Cloud-connected platforms and IoT ecosystems
• Conduct code review, firmware analysis, and system-level security testing
• Identify and validate vulnerabilities across the entire product attack surface

Secure Development & System Hardening

• Embed security into SDLC across software, firmware, and device-integrated systems
• Define and implement secure design patterns across:
  • Application layers
  • Device firmware
  • Communication protocols
• Partner with engineering to ensure secure-by-design architecture decisions

Offensive Security & Validation

• Perform and support penetration testing, firmware analysis, and device-level assessments
• Validate findings from internal testing, third-party assessments, and teardowns Simulate real-world attack paths across device network cloud- application

Vulnerability Management

• Triage and validate vulnerabilities across software, firmware, and hardware layers
• Provide clear, actionable remediation guidance tailored to engineering teams
• Track and drive remediation aligned to risk and customer impact

Software & Hardware Supply Chain Security

• Support SBOM/HBOM analysis and validation
• Identify risks in third-party libraries, firmware components, and hardware dependencies
• Assist in mitigation strategies across supplier-integrated components

Emerging Technology & Advanced Systems Security

• Evaluate security risks in:
  • IoT architectures and edge devices
  • Cloud-native and distributed systems
  • Agentic / autonomous system behaviors (where applicable)
• Help define guardrails for secure adoption of new technologies

Engineering Integration & Enablement

• Act as a trusted technical partner to software, firmware, and hardware teams
• Translate security findings into practical engineering fixes
• Provide real-time guidance during development, not just post-testing
• Contribute to a culture of security ownership within engineering

AI & Automation

• Experience leveraging AI/ML-assisted tools to improve security engineering outcomes, including:

• • Code analysis and vulnerability detection
  • Secure code generation and review validation
  • Automation of repetitive security testing and triage tasks
• Ability to integrate AI capabilities into engineering workflows, including:
  • API-based integrations with development and security tooling
  • Automation of security processes within CI/CD pipelines
• Working understanding of security risks associated with AI-enabled systems, including:
  • Prompt injection and model misuse
  • Data exposure and model leakage risks
  • Secure handling of sensitive data in AI workflows
• Pr…