Job ID:
J51213
Job Title:
Firmware/Embedded Engineer
Location:
dallas, TX
Duration:
12 Months + Extension
Hourly Rate:
Depending on Experience (DOE)
Work Authorization:
US Citizen, Green Card, OPT-EAD, CPT, H-1B,
H4-EAD, L2-EAD, GC-EAD
Client:
To Be Discussed Later
Employment Type:
W-2, 1099, C2C
JOB DESCRIPTION:
Experience:
• Strong C/C++/Python skills in embedded Linux environments.
• Hands-on experience with Yocto, BSPs, and networking stacks.
• Familiarity with OTA updates, secure boot, and cloud-IoT integration.
• 5-10+ years related experience
Responsibilities:
Embedded Linux Platform
• Build and customize Linux OS images (Yocto or Debian-based).
• Integrate kernel modules, device drivers, and BSPs.
• Optimize boot time, memory, and power usage for embedded devices.
Connectivity & Networking
• Implement and manage Ethernet, Wi-Fi, LTE/4G, and PoE networking.
• Configure DHCP, DNS, MQTT, HTTP/HTTPS, NAT, and firewall rules.
• Ensure stable and secure connectivity with automatic recovery (99% uptime target).
System Software & Middleware
• Develop C/C++/Python services for data acquisition, buffering, and routing.
• Integrate edge ML models and cloud middleware (AWS, MQTT, REST APIs).
• Manage local storage, caching, and retry logic for intermittent networks.
Security & Reliability
• Implement secure boot, signed firmware, and integrity checks.
• Manage certificates, keys, and access control.
• Support OTA firmware updates with rollback protection.
Monitoring & Diagnostics
• Design system health telemetry (CPU, memory, connectivity, temperature).
• Create watchdogs, auto-recovery scripts, and remote logging/debugging (jFrog, syslog).
• Support remote firmware updates and diagnostics.
Testing & CI/CD
• Develop and automate unit/integration tests.
• Collaborate with QA on test execution and system validation.
Hardware Integration
• Bring up and test peripherals (Wi-Fi, LTE, USB, GPIO).
• Integrate and test Linux drivers (Qualcomm and custom).
• Validate sensor and RF interfaces.
Performance Optimization
• Profile CPU, memory, and I/O performance.
• Tune kernel and network parameters for reliability and throughput.
• Optimize flash storage and file system usage.
Cloud & Edge Integration
• Develop clients for MQTT, HTTPS, and WebSockets.
• Handle device provisioning and cloud connectivity (AWS IoT Core, Azure).
• Support remote configuration and edge analytics modules.
Collaboration & Documentation
• Work cross-functionally with hardware, QA, and cloud teams.
• Participate in code/architecture reviews.
• Document system architecture and deployment guides
MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract