Lead Flight Software Engineer - Algorithms, Embedded C/C++,

Mavensoft Technologies, LLC; Azusa (CA); On-site; USD 96,000 - 165,000; Full time

Job summary

Mavensoft Technologies, LLC is seeking a Lead Flight Software Engineer to drive algorithms and embedded C/C++ implementations for flight software in an onsite Azusa, CA role. The position involves leadership within the Flight Software Department and hands-on development of real-time flight software solutions.

Qualified candidates have a STEM degree with 8–12+ years of experience in embedded flight systems, kernel-level concepts, and hardware/software integration, with Agile project management

Qualifications

• Required: Bachelor's degree in a STEM discipline with 12 years of relevant experience; OR Master's with 10 years; OR PhD with 8 years.
• Ability to translate MARs into flight software code.
• Strong math for algorithm development and implementation.
• Proficiency in software development for embedded/flight systems.
• Experience with kernel-level concepts and RTOS in flight environments.
• Experience integrating software into third-party platforms.
• Hands-on embedded/flight algorithm implementation.
• Familiarity with Agile project management practices.

Responsibilities

• Lead the Flight Software Algorithms team to implement flight software solutions.
• Translate requirements into robust embedded code for flight computers.

Skills

Algorithms

Embedded C/C++

RTOS

Flight Software

FPGA/CPU/GPU

Hardware/Software Integration

Kernel-level concepts

Real-time operating systems

Agile project management

Education

Bachelor's degree in STEM

Master's degree in STEM

PhD in STEM

Job description

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 anAlgorithm 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 anAlgorithm 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.