Automotive Cybersecurity Engineer

We are looking for Embedded Developer with Leading Global MNC - Faridabad

Description:

• Strong experience with 32-bit microcontrollers such as STM32, NXP, Renesas, TI, Microchip, etc.
• Excellent knowledge of C/C++ programming and exposure to Assembly.
• Strong experience with RTOS such as FreeRTOS, µC/OS, embOS, VxWorks, QNX, etc.
• Hands-on experience in developing HAL, BSP and low-level device drivers.
• Strong understanding of microcontroller peripherals and interfaces** including ADC, DAC, I2C, SPI, UART, CAN/CAN FD, RS485, DMA, Ethernet, SD/eMMC, SDIO, etc.
• Strong experience with Automotive communication protocols such as CAN, CAN FD, LIN, J1939 and UDS.
• Knowledge of AUTOSAR concepts and architecture is an advantage.
• Experience with automotive diagnostics, ECU communication, and vehicle network architecture.
• Hands-on experience using Oscilloscope, Logic Analyzer, Function Generator, Multimeter and other debugging equipment.
• Experience in board bring-up, hardware-software integration and debugging of embedded boards.
• Ability to debug power, clock, reset, communication interfaces, and peripheral-related hardware issues at board level.
• Good understanding of schematics, PCB layouts and electronic circuits around microcontrollers and ARM-based systems.
• Ability to work closely with hardware engineers for design reviews, component selection, hardware validation, and issue resolution.
• Experience with prototype board testing, hardware validation, and root-cause analysis of HW/SW issues.
• Experience in reverse engineering and debugging of embedded systems.
• Strong understanding of embedded system architecture and system-level design.
• Experience with Embedded Linux and/or RTOS-based systems is an advantage.
• Knowledge of networking concepts including OSI layers, TCP/IP stacks and common IP protocols is a plus.
• Knowledge of NMEA/NMEA 2000 standards is a plus.
• Exposure to ASPICE, ISO 26262, MISRA-C and automotive cybersecurity is an advantage.
• Experience with automotive development and debugging tools such as Vector CANoe/CANalyzer is a plus.

Roles & Responsibilities:

The right person for this position should have 7+ years of experience in Embedded Systems, preferably with strong exposure to Automotive Embedded Systems.

The candidate should be passionate, technology-driven, and have a strong interest in embedded devices, automotive electronics, IoT, and connected vehicle technologies.

The candidate should be capable of understanding system and product requirements, translating them into technical tasks and solutions, and working as a senior technical individual contributor while collaborating effectively with cross-functional teams.

Cybersecurity Engineer – AI Training Project

About the Opportunity

We’re looking for experienced Cybersecurity Engineers to contribute technical expertise to a customer project focused on improving the capabilities of next-generation AI systems.

In this role, you’ll use your real-world experience in cybersecurity, software engineering, vulnerability assessment, and secure development to create high-quality technical inputs that help AI systems better understand, debug, secure, and reason about complex software.

What You’ll Do

• Analyze, debug, and resolve software bugs, vulnerabilities, and security issues across complex codebases.
• Review source code and identify potential security weaknesses, vulnerabilities, and attack vectors.
• Perform security assessments, vulnerability assessments, penetration testing, and codebase audits.
• Develop and modify software using languages such as Python, Java, Rust, Go, C++, or TypeScript.
• Implement new features and fix existing functionality while maintaining strong security and engineering standards.
• Refactor legacy code to improve security, maintainability, reliability, and performance.
• Work on backend systems and help optimize applications for scalability, performance, and security.
• Analyze real-world security scenarios and translate your expertise into high-quality technical examples and problem-solving tasks.
• Document technical findings, vulnerabilities, debugging approaches, and recommended solutions.
• Provide domain expertise that helps improve how AI systems reason about software engineering and cybersecurity problems.

What We’re Looking For

• Strong professional experience in Cybersecurity / Application Security / Product Security / DevSecOps / Penetration Testing / Vulnerability Management.
• Strong programming experience in one or more of:
• Python
• Java
• Rust
• Go
• C++
• TypeScript
• Proven experience with debugging, troubleshooting, and fixing complex software issues.
• Hands-on experience with penetration testing, vulnerability assessment, security auditing, or application security.
• Understanding of secure software development practices and modern security threats.
• Strong knowledge of data structures, algorithms, software architecture, and code quality.
• Ability to review unfamiliar codebases and quickly understand how systems work.
• Strong written communication and the ability to explain complex technical findings clearly.

Nice to Have

• Experience with OWASP, API security, cloud security, DevSecOps, or threat modeling.
• Experience performing security assessments on production applications or enterprise systems.
• Experience with tools such as Burp Suite, Metasploit, Nmap, Wireshark, SAST/DAST tools, or vulnerability scanners.
• Contributions to open-source security or software projects.
• Experience working with AI/ML systems, LLMs, data annotation, or AI training projects.
• Relevant security certifications such as OSCP, OSWE, CEH, CISSP, Security+, or equivalent practical experience.

Engagement

• Role: Cybersecurity Engineer
• Work: Remote(Contract)
• Experience: Mid-level to Senior
• Programming: Required
• Cybersecurity expertise: Required

Why Join?

This is an opportunity to apply your existing cybersecurity expertise to an emerging area of technology. Your practical experience debugging software, identifying vulnerabilities, securing applications, and solving complex engineering problems will directly contribute to improving the capabilities of next-generation AI systems.

If you enjoy breaking down complex technical problems, finding vulnerabilities, fixing software, and thinking deeply about how systems work, this project could be a strong fit.

Power Electric Vehicles with embedded software for battery management and autonomous driving.

What you'll do:

• Develop BMS algorithms (SOC/SOH estimation)
• Implement CAN bus communication protocols
• Code motor control algorithms (FOC, sensorless)
• Build ADAS features (ultrasonic parking, vision)
• HIL testing with Vector tools
• Optimize for automotive-grade reliability (AUTOSAR)

What we need:

• C/C++, Embedded Linux/RTOS
• Microcontroller experience (STM32, NXP)
• Control systems or automotive interest
• Debugging skills (oscilloscopes, logic analyzers)

Future-proof skills:

• Work on actual EV prototypes
• Portfolio for Tata, Mahindra EV teams
• Automotive cybersecurity exposure

About Company

We are building general-purpose autonomous robots for US construction to tackle rising costs, safety risks, and labour shortages. Our modular, multi-trade platform combines purpose-built hardware with real-time site intelligence to navigate complex environments and execute tasks with precision. Trained in high-fidelity simulation and already deployed on live sites, our robots deliver 5x faster execution, 250%+ margin expansion, and significant cost savings.

About the Role

We are looking for a versatile, hands-on software engineer to join our growing team. You will work across embedded Linux systems, networking stacks, robotic middleware, and cloud-connected services. This role demands strong fundamentals, intellectual curiosity, and the ability to learn quickly — not just familiarity with buzzwords.

On-site, Bengaluru

Responsibilities

• Design and implement robot boot-up sequences and service orchestration to ensure reliable, deterministic system bring-up.
• Configure and manage Linux networking — TCP/IP stack, HTTP, iptables, ARP, DHCP, DNS — for robot-to-cloud and inter-robot communication.
• Own CI/CD pipelines using ArgoCD, GitHub Actions, and containerized workflows to ship software to robots.
• Manage Docker-based deployment and runtime environments on robot and cloud infrastructure.
• Write and maintain system administration tooling and bash scripts for fleet management and diagnostics.
• Collaborate closely with robotics, perception, and application teams to integrate platform capabilities.
• Establish and enforce best practices around Git workflows, branching strategies, and code review.
• Lead and mentor a small platform engineering team — set technical direction, conduct code reviews, and drive execution.

Requirements

All candidates must demonstrate solid, hands-on competency in every item listed below.

• Linux systems programming in C
• File I/O — read, write, seek, memory-mapped files
• Multi-threading — pthreads, mutexes, condition variables, thread safety
• Socket communication — TCP/UDP sockets, select/poll/epoll
• Basic data structures & algorithms — stack, heap, queue, linked list
• General comprehension ability — reading technical manuals, datasheets, and RFCs
• Python scripting
• Bash scripting
• Git — CLI usage, branching, merging, rebasing, conflict resolution
• Standard UML diagrams — flowchart, sequence diagram, deployment diagram
• Windowless text editor — vim, nano, or equivalent

Strong Advantage

• C++ programming — C++17, OOP, templates, STL
• Common network protocols — DHCP, ARP, TCP, UDP, DNS
• Network configuration — routers, switches, VLANs, subnetting
• Server-client application architecture
• P2P vs. centralised communication — DDS vs. MQTT
• Database management — SQL vs. NoSQL, schema design
• Network security — checksums (CRC, MD5, SHA), public-key encryption, digital signatures
• ROS2 framework — pub/sub, services, actions, lifecycle nodes, DDS transport
• CMake build system — targets, find_package, CTest integration
• Docker — Dockerfiles, docker-compose, remote image registries

Must-haves (non-negotiable)

• Strong Linux systems programming in C — multi-threading (pthreads), socket communication (TCP/UDP, epoll), and file I/O
• Hands-on experience with CI/CD pipelines (ArgoCD, GitHub Actions) and Docker-based deployments
• Networking expertise — TCP/IP stack, DHCP, DNS, iptables, inter-device communication
• Proficiency in Python and Bash scripting for fleet management and diagnostics
• ROS2 experience (pub/sub, DDS, lifecycle nodes) is a strong advantage

Greetings from Skoegle IoT Innovations Pvt Ltd 

Job Summary

We are looking for an experienced Embedded Firmware Engineer with expertise in embedded systems, firmware architecture, RTOS, and embedded software development for IoT, wearable, automotive, industrial, and medical-grade products.

Key Responsibilities

• Design, develop, debug, and maintain firmware in C, C++, and Embedded C.

• Develop firmware for ESP32, nRF52832/52840, ATmega328P, and Raspberry Pi platforms.

• Integrate sensors using I2C, SPI, UART, ADC, GPIO, PWM, CAN, and USB.

• Develop RTOS and bare-metal firmware.

• Implement BLE, GSM/4G, GPS/GNSS, LoRa, Wi-Fi, NFC/RFID communication.

• Design bootloaders, OTA updates, and secure firmware upgrades.

• Optimize power consumption, sleep modes, memory allocation, and performance.

• Develop sensor drivers, calibration routines, and medical-grade firmware.

• Program bare ICs and support PCB bring-up, pin selection, and hardware validation.

• Support HTTP/HTTPS GET/POST/PUT APIs and embedded networking.

Required Skills

• Embedded Systems and Embedded Software Development

• C, C++, Embedded C

• RTOS, Bare-Metal Programming

• Operating Systems fundamentals

• I2C, SPI, UART, Digital & Analog Signals

• Sensor Integration

• Arduino IDE, VS Code, SEGGER Embedded Studio, J-Link

• ESP32 Series, nRF52832/52840, ATmega328P, Raspberry Pi

• BLE (UUIDs), GSM (band configuration), GPS, LoRa

• Python, HTML, HTTP/HTTPS

• Bootloader Development, OTA, Power Optimization

• Memory Allocation, Sleep Modes, Sensor Calibration

• Machine Learning on Embedded Systems (preferred)

A BIT ABOUT US

Appknox is one of the top Mobile Application security companies recognized by Gartner and G2. A profitable B2B SaaS startup headquartered in Singapore & working from Bengaluru.

The primary goal of Appknox is to help businesses and mobile developers secure their mobile applications with a focus on delivery speed and high-quality security audits.

Appknox has helped secure mobile apps at Fortune 500 companies with major brands spread across regions like India, South-East Asia, Middle-East, US, and expanding rapidly. We have secured 300+ Enterprises globally.

We are a 65+ incredibly passionate team working to make an impact and helping some of the biggest companies globally. We work in a highly collaborative, very fast-paced work environment. If you have what it takes to be part of the team, we are excited and let’s speak further.

The Opportunity

To join the security team engaging with multiple clients, helping them with end to end security audits, also research about new topics and vulnerabilities to be added to the scanner, present it in conferences.

What An Ideal Candidate Would Look Like: 

• Skills - Application Penetration Testing (Web, iOS and Android), experience with IoT testing, source code audits.
• Technology Stack: AWS, GCP, Objective C, Java, Python
• Responsibilities: Engage with clients for scoping call, perform security audits, remediation call with clients to patch the issues, research on new technologies/vulnerabilities

Minimum Requirements

• 2-4+ years of experience in application security and vulnerability research
• Strong foundation in mobile app security - Android or Ios
• Proven track record of discovering and disclosing CVEs in mobile platforms or popular applications (provide - github/bug bounty profiles)
• Strong understanding of exploit mitigations and proven ability to bypass them
• Should be able to architect automated detection logic for new vulnerabilities and integrate them into our security products
• Develop AI-driven agents to automate dynamic analysis
• Should be able to Leverage AI/LLMs to augment Pentesting efforts
• Ability to work independently in a fast-paced environment, balancing deep research with practical deliverables

Good to have Requirements

• Understanding of AI/ML security risks

Responsibilities

• Security assessment of web/mobile applications on various platforms
• Focusing on Mobile Application Security Research for new vulnerabilities
• Static and Dynamic Code Analysis
• Develop and interpret security standards and guides
• Automation of exploit development 
• Understand and explain the results with impact on business and compliance status
• Continuously learning and training on latest tools and technique

Work Expectations

Within 1 month

Training on processes, security workflows and develop understanding on internal tools.

Within 3 months

Actively contributing in exploit development and automation of it with the team.

Within 6 months

Expected to achieve Subject Matter Expert status on our core security products. We expect you to validate your findings against real-world conditions, with a strong emphasis on translating internal discoveries into actionable bug bounty submissions and earned CVEs to benchmark your impact against the external security community.

Within 1 Year

By the end of your first year, you will be expected to produce and submit a piece of novel, peer-reviewed security research. This deliverable must be of a quality suitable for top-tier industry conferences.

Personality traits we really admire

• A confident and dynamic working persona, which can bring fun to the team, and a sense of humour, is an added advantage.
• Great attitude to ask questions, learn and suggest process improvements.
• Has attention to details and helps identify edge cases.
• Highly motivated and coming up with fresh ideas and perspectives to help us move towards our goals faster.
• Follow timelines and absolute commitment to deadlines.

Interview Process - would be team specific

• Round 1- CTF round 
• Round 2 -Profile Evaluation; HR
• Round 3 -Technical Interview with security team members
• Round 4 -Technical Interview with the Hiring Manager
• Round 5 -Technical round with CTO
• Round 6 -HR Round

Compensation

• As per Industry Standards

Why Join Us

• Freedom & Responsibility: If you are a person who enjoys challenging work & pushing your boundaries, then this is the right place for you. We appreciate new ideas & ownership as well as flexibility with working hours.
• Great Salary & Equity: We keep up with the market standards & provide pay packages considering updated standards. Also as Appknox continues to grow, you’ll have a great opportunity to earn more & grow with us. Moreover, we also provide equity options for our top performers.
• Holistic Growth: We foster a culture of continuous learning and take a much more holistic approach to train and develop our assets: the employees. We shall also support you all on that journey of yours.
• Transparency: Being a part of a start-up is an amazing experience, one of the reasons being open communication & transparency at multiple levels. Working with Appknox will give you the opportunity to experience it all first-hand.

Embedded Systems / Firmware Engineer

Key Responsibilities

• Develop embedded firmware for IoT and connected devices using C/C++.
• Work on RTOS, bare-metal programming, memory management, device drivers, and communication protocols.
• Develop and integrate drivers/interfaces for cameras, motors, sensors, and vision systems.
• Work with Python and Shell scripting for development and automation.
• Apply basic AI/ML and computer vision concepts to embedded applications.
• Collaborate on electrical and mechanical design, hardware integration, testing, and debugging.

Required Skills

• C, C++, Python, Shell Scripting
• Embedded Systems & Firmware
• IoT, RTOS, Bare Metal
• Memory Management & Device Drivers
• Communication Protocols
• Camera, Motor & Vision Systems
• Basic AI/ML understanding
• Electrical & Mechanical Design understanding

Cyber Security Expert

We are seeking a highly skilled Cyber Security Expert with strong expertise in AI-driven

security tools and ethical hacking techniques. The ideal candidate will safeguard our digital

infrastructure, proactively identify vulnerabilities, and design intelligent defense mechanisms

against evolving cyber threats.

Key Responsibilities

• Threat Analysis: Identify, assess, and mitigate potential risks across systems and

networks.

• AI Security Tools: Deploy and manage AI-based solutions for intrusion detection,

anomaly monitoring, and predictive threat modelling.

• Ethical Hacking: Conduct penetration testing, simulate cyber-attacks, and recommend

remediation strategies.

• Incident Response: Lead investigations, contain breaches, and implement recovery

measures.

• Compliance & Governance: Ensure adherence to data protection laws, industry

standards, and organizational policies.

• Training & Awareness: Educate employees on best practices and emerging threats.

Required Skills & Qualifications

• Proven hands-on experience with AI-powered security platforms (e.g., SIEM, SOAR,

ML-based anomaly detection).

• Strong knowledge of ethical hacking tools (Metasploit, Burp Suite, Kali Linux, etc.).

• Expertise in network security, firewalls, IDS/IPS, and endpoint protection.

• Familiarity with cloud security (AWS, cloud platform).

• Proficiency in scripting languages (Python, Bash, PowerShell) for automation.

• Solid understanding of cryptography, authentication protocols, and secure coding

practices.

About the role

We are looking for a technically strong software engineering leader to own software quality, architecture and integrated delivery across our India software organisation. Our robots depend on multiple software disciplines working together reliably. You will help shape technology strategy and organisational direction, and translate that into sound architectural decisions, strong engineering practices and dependable execution. This is a hands-on leadership role combining technical depth, people management and accountability for outcomes.

Location: Bengaluru, Karnataka,  Reports to: Chief Technology Officer · Experience: 10+ years

About Us

We are building robots to maintain, organise and reset common public and commercial spaces — offices, campuses, venues and other high-traffic facilities. We are building a hybrid end-to-end architecture where classical and modern methods work together for maximum reliability and robustness, with R&D in Bengaluru and Wellington, New Zealand.

What you will do

Technology direction and architecture: help shape technology strategy and drive architecture decisions across robot software, cloud services, data processing and model training infrastructure. Own system-level requirements — latency, compute and memory budgets, end-to-end reliability. Establish clear interfaces and component ownership, and resolve technical trade-offs across the stack.

Software quality, security and engineering practices: set and embed standards for code quality, testing, documentation, observability and secure development. Own the software security review and audit process across robot and cloud systems, working with specialists where needed. Build quality into everyday development through effective reviews, automated validation and measurable acceptance criteria.

Integrated software delivery: own delivery across teams, turning product priorities into realistic plans with clear commitments, dependencies and milestones. Resolve execution bottlenecks and hold teams accountable for working software and demonstrated robot behaviour.

Integration, resilience and release readiness: own integration and release readiness across robot software, cloud services, and data and training pipelines, including Kubernetes. Define and validate behaviour during connectivity loss, service degradation and component failures, including safe fallback, recovery and rollback. Establish reproducible builds and simulation, hardware-in-the-loop, on-robot and cloud testing.

Hands-on technical leadership: stay close to implementation through critical design and code work, complex debugging and direct involvement in the most consequential technical problems.

People and team development: lead and develop engineers and technical leads; build capability through hiring, coaching, clear performance expectations and stronger technical ownership.

Cross-team alignment: bring teams together around shared technical decisions and delivery outcomes, including teams outside your reporting line.

Experience

• At least 10 years in robotics or AI, including technical leadership roles
• Strong understanding of autonomy systems such as VLA/VLM models, SLAM, planning, perception and ML-based decision-making
• Python, C++, ROS, and ML stacks such as PyTorch or TensorFlow
• Experience with robotics, embedded systems, autonomous systems or comparable products where software interacts with physical hardware
• Practical experience improving automated testing, continuous integration, release processes and production reliability
• Evidence of delivering programmes spanning multiple teams, including teams outside your reporting line
• Experience architecting and operating cloud platforms, containerised workloads, and large-scale data processing or model training pipelines

What success looks like

• Teams deliver predictably against a shared plan, with clear ownership and fewer late integration surprises
• Architecture supports product goals and makes the software easier to extend, test and maintain
• Releases produce measurable improvements in robot behaviour and reliability
• Recurring failures, escaped defects and avoidable engineering rework decrease
• Engineers and technical leads grow in capability, ownership and execution independence

About the team

SecurITe’s mission is to build an Agentic‑AI driven security platform that protects critical infrastructure from modern cyber threats. Our focus is on delivering highly performant, resilient, and intelligent network security systems that help defenders stay ahead of adversaries.

About the Role

We’re looking for a seasoned Senior Quality Engineer to provide technical leadership and architectural oversight for our next‑generation cybersecurity AI platform. In this high-impact role, you will define the technical strategy for quality assurance, ensuring our agentic AI transforms cyber defense with unparalleled reliability.

You will be responsible for the end-to-end quality lifecycle, from architectural reviews to the deployment of scalable automation frameworks. Beyond technical execution, you will serve as a mentor to junior team members, fostering a culture of technical excellence and driving the strategy that ensures our solutions meet the rigorous demands of critical infrastructure protection.

What You’ll Do

●    Defining and driving comprehensive QA strategies and roadmaps for the cybersecurity platform.

●    Designing, developing, and executing test plans, test cases, and automated scripts to ensure software quality.

●    Performing functional, regression, performance, scalability and security testing to identify bugs or defects.

●    Collaborating with developers, product managers, and other stakeholders to understand product requirements and testing needs.

●    Identifying, documenting, and tracking software defects, ensuring clear communication of issues and their resolutions.

●    Leading deep-dive root-cause analysis for critical system defects and security vulnerabilities.

●    Conducting thorough reviews of product specifications and software design to identify potential areas of concern before testing.

●    Architecting and designing complex, scalable test automation frameworks to optimize CI/CD velocity.

●    Ensuring the software meets customer and business requirements by validating the functionality and performance.

●    Assisting in continuously improving QA processes, tools, and best practices to enhance software testing efficiency and effectiveness.

●    Supporting user acceptance testing (UAT) and assisting clients with product validation.

●    Mentoring junior and mid-level engineers, providing technical guidance and conducting architectural reviews.

Required Experience

●    A Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or a related field.

●    8-10 years of proven experience in quality engineering, specifically within network cybersecurity, Identity Providers, or AI-integrated platforms.

●    Expertise in manual and automated testing.

●    Deep domain expertise in complex system validation and advanced automation practices at scale.

●    Proficiency in programming languages like Python to build and run automated test scripts.

●    "Strong knowledge of software testing methodologies, performance testing tools (e.g., JMeter, k6), and security traffic generation/simulation tools (e.g., Ixia BreakingPoint, Scapy, or Snort/Suricata traffic generators)."

●    Understanding of continuous integration/continuous deployment (CI/CD) pipelines and version control systems like Git.

●    Strong communication skills for documenting test results and interacting with cross-functional teams.

●    Excellent analytical skills, attention to detail, and problem-solving ability.

●    Ability to work independently as well as collaboratively in a team environment.

●    A curious mindset with a willingness to quickly learn new technologies and testing tools.

Required Skills & Qualifications

●    Familiarity with cloud-based testing environments (GCP, AWS, Azure).

●    Experience with cybersecurity products or cloud services or IDP or Web UI

The Mindset

●    Problem Solver: You thrive on complex, ambiguous challenges and engineer elegant solutions.

●    Ownership‑Driven: You take initiative, move fast, and deliver outcomes without hand‑holding.

●    Continuous Learner: You stay ahead of the curve in AI, ML, and emerging technologies.

●    Startup DNA: You excel in fast‑moving environments where priorities evolve and impact is immediate.