Algorithm Software Engineer Lead

Mavensoft Technologies, LLC; Northern, Azusa (KY, CA); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Mavensoft Technologies, LLC is seeking a Lead Flight Software Engineer to guide algorithm development for embedded flight software. You will work onsite in Azusa, CA, translating MARs into flight code and ensuring real-time performance.

The role emphasizes leadership in the Flight Software Department, with a focus on implementing robust flight software solutions and coordinating with hardware teams.

Qualifications

• Bachelor's degree in a STEM discipline with 12+ years of relevant experience or advanced degrees with equivalent experience.
• Strong math proficiency and ability to translate MARs into flight software.
• Proficiency in embedded/flight systems software development and kernel-level concepts.
• Experience with real-time OS, flight software constraints and third-party integration.
• Hands-on embedded systems development and hardware-software integration.

Responsibilities

• Lead the development of flight software algorithms for embedded platforms.
• Implement and optimize algorithms within embedded/flight code in a team setting.

Skills

Algorithms

Embedded C/C++

RTOS

Flight Software

FPGA/CPU/GPU

Hardware/Software Integration

Education

Bachelor's degree in STEM, 12+ years

Master's degree in STEM, 10+ years

PhD in STEM, 8+ years

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.