Space System Engineer
NewBe an early applicantTeam & Role:
You will be joining the Satellite team and working on building the Satellite Payload. You will own the system-level design of the payload data chain, covering high-speed sensor interfaces, onboard processing, storage, and downlink, ensuring the system meets throughput, latency, power, and reliability requirements across all mission phases.
The role involves working across the full development lifecycle, from architecture definition and budgeting, through board bring-up and embedded software definition, to integration, qualification testing, and in-orbit operations support. This position requires strong first-principles thinking, comfort working across the hardware and software boundary, and the ability to translate complex system requirements into practical engineering solutions.
Responsibilities :
- Own the system-level architecture of the onboard compute and data handling chain, from sensor output through processing and storage to downlink.
- Define the compute architecture and processing partitioning across GPU, FPGA/SoC, and general-purpose compute modules, balancing workload, power, and thermal constraints.
- Specify, integrate, and validate high-speed data interfaces including LVDS/SerDes, SpaceWire, Ethernet, PCIe, SPI, RS485, and CAN.
- Perform throughput sizing and bottleneck analysis across the end-to-end data path.
- Define the storage and flash management strategy, covering capacity, sustained write performance, endurance, and data retention across mission life.
- Define the software architecture and ConOps for the embedded system, including sensor data integration and onboard processing pipelines.
- Drive board bring-up and software enablement including Linux kernel configuration, GPU interfaces, memory management, PCI/Ethernet subsystems, device tree modification, and Yocto/PetaLinux builds.
- Define and implement TM/TC handling, task scheduling, health monitoring, FDIR, and in-orbit reprogramming strategies.
- Author and maintain requirements, ICDs, and system budgets for power, data, thermal, and mass.
- Support functional, endurance, and environmental test campaigns; prepare test plans and reports and correlate results against design assumptions.
- Perform root-cause analysis for failures and off-nominal behaviour across the compute and data handling system.
- Work closely with payload, avionics, EPS, thermal, structures, ground segment, and AIT teams to ensure integrated system performance.
Requirements
Must-have Qualifications :
- Bachelor's or Master's degree in Electronics & Communication, Electrical Engineering, Computer Engineering, Aerospace Engineering, or a related discipline.
- 3-5 years of experience in space, defence electronics, avionics, automotive edge compute, or high-speed imaging and instrumentation systems.
- Hands-on exposure to GPU, FPGA/SoC, or equivalent compute modules.
- Working experience with one or more of: LVDS/SerDes, SpaceWire, Ethernet, PCIe, SPI, RS485, CAN.
- Experience with storage and flash management, throughput sizing, and bottleneck analysis.
- Experience defining software architecture or ConOps for an embedded system, including sensor data integration.
- Working knowledge of the Linux kernel, covering GPU interfaces, memory management, PCI/Ethernet, device tree modification, Yocto/PetaLinux, and kernel compilation.
- Experience with TM/TC handling, task scheduling, health monitoring, in-orbit or field reprogramming, and FDIR.
- Demonstrated experience authoring requirements, ICDs, and budgets for power, data, thermal, and mass.
Good-to-have :
- Experience planning and executing functional, endurance, or environmental testing, and producing formal test reports.
- Exposure to MILSPEC, DGQA, BIS/QCI, or DAP 2020 standards.
- Working knowledge of hardware interfaces and the production lifecycle.
- Experience with Earth observation satellites or high-rate instrument data chains.
- Experience working in private aerospace or hardware-focused startups.
- Experience across at least one spacecraft or hardware development lifecycle.
What we look for :
- Strong first-principles engineering mindset and analytical thinking.
- Ability to
