Algorithm Software Engineer Lead
Lead Flight Software Engineer - Algorithms, Embedded C/C++,Tittle : Lead Flight Software Engineer - Algorithms, Embedded C/C++,
Work Location: Onsite in Azusa, CA
Duration: 2 months
Terms: W2 Contract
Work Authorization: US Citizen
Key Skills: Algorithms, Embedded C/C++, RTOS, Flight Software, FPGA/CPU/GPU, Hardware/Software Integration
Position Summary:
As an Algorithm Software Engineer Lead , you will support our Flight Software Department.
As a member of the Flight Software Department, you'll get to implement flight software solutions.
Tittle : Lead Flight Software Engineer - Algorithms, Embedded C/C++,
Work Location: Onsite in Azusa, CA
Duration: 2 months
Terms: W2 Contract
Work Authorization: US Citizen
Key Skills: Algorithms, Embedded C/C++, RTOS, Flight Software, FPGA/CPU/GPU, Hardware/Software Integration
Position Summary:
As an Algorithm Software Engineer Lead , you will support our Flight Software Department.
As a member of the Flight Software Department, you'll get to implement flight software solutions.
Required Qualifications:
Bachelor's degree in a STEM discipline with 12 years of relevant experience;
OR a Master's degree in a STEM discipline with 10 years of relevant experience;
OR a PhD in a STEM discipline with 8 years of relevant experience.
Ability to translate MARs into flight software code.
Strong math proficiency for algorithm development and implementation.
Proficiency in software development and execution for embedded/flight systems.
Understanding of kernel-level concepts (OS, kernel, low-level software).
Experience working in flight environments (real-time operating systems, flight software constraints).
Experience integrating software into third-party platforms.
Strong background in embedded systems development.
Experience with flight hardware and hardware-software integration.
Hands-on experience implementing algorithms in embedded/flight code.
Familiarity with Agile project management practices.
Preferred Qualifications:
Active DoD Secret clearance is preferred, not mandatory.
Experience optimizing intra-SoC distributed processing across integrated FPGA, CPU, and GPU components.
Expertise with NVIDIA Orin Jetson platforms for high-performance, real-time processing.
Experience with Polarfire FPGAs and their integration into embedded systems.
Proven ability to design and implement high-bandwidth 20 Gbps real-time processing solutions.
Demonstrated skill in minimizing processing latency in heterogeneous compute architectures.
Strong background in mapping and fitting complex algorithms to fixed hardware configurations.
Knowledge of hardware-software co-design principles for embedded/compute-intensive systems.#J-18808-Ljbffr