iMetalX is space technology company focused on providing In-space servicing solutions for governments and businesses. At iMetalX, we are on a mission to revolutionize the space industry through innovative technology and a commitment to sustainability.

Position Responsibilities: Full Time Position in Sausalito, California

• Hands-on experience developing, architecting, and running ML or deep learning applications: training, data augmentation, performance tracking, evaluation metrics, etc.

• Understanding of the fundamentals of machine learning and deep learning, from their mathematical concept to the interpretation of their output,

• Experience with handling and processing image data, including labelling data on experimental and synthetic environments,

• Experience with ML and deep learning frameworks like PyTorch and TensorFlow/Keras

• Ability to interpret raw sensor data and make sense of its electro-optical properties like noise, responsivity, spectral distribution, spatial distribution, etc.,

• Familiar with basic design of optical systems (first order) but ideally also familiar with higher-order optics like distortion effect,

• Experience running experimental setups for generating/collecting data to be used for algorithms training,

• Exposure to feedback control applications using optical sensors,

• Apply reinforcement learning and deep learning methodologies to enhance decision-making processes. Experience in space applications.

• Excellent verbal and written communication skills

• Ability to work effectively in a team environment

• Excellent problem-solving skills

• US Citizenship required

Contact: alex@imetalx.com

Sausalito, CA. 94965

Tel: 650 450 6387

iMetalX is space technology company focused on providing In-space servicing solutions for governments and businesses. At iMetalX, we are on a mission to revolutionize the space industry through innovative technology and a commitment to sustainability.

Responsibilities.

• Lead the development and evolution of GNC systems for small satellites

• Provide hands-on support for hardware and software design, including architecture and component selection for both computing and sensors, and algorithm and hardware implementation.

• Design, build, test and validate simulation models for GNC hardware sensors and actuators, vehicle dynamics, and the space environment.

• Develop AI algorithms.

• Provide hands-on support for small satellite integration and testing.

• Develop an integrated GNC simulation to support subsystem performance analyses and deployment of GNC using MATLAB/Simulink and ANSYS-STK.

• Perform functional and qualification testing of GNC software-in-the-loop (SITL) and hardware-in-the-loop (HITL)

• Develop tools that support analysis of subsystem configurations, mission performance and analytics.

Qualifications

• Bachelor's degree in a relevant (e.g. engineering, physics, mathematics, or computer science) with at least 5 years of experience.

• Desired Qualification Aerospace/Mechanical/Electrical Engineering or equivalent engineering/science discipline at a bachelor's level or Advanced degree

• Strong Skills in C, C++, Python, and MATLAB

• Familiarity with Kalman filters, developing algorithms, etc.

• Excellent communications skills, ability, and desire to work collaboratively in a team environment, and willingness to learn new skills and technology.

• Experience with GNC modeling and simulation, analysis, integration, test, and spacecraft operations.

• Experience developing and deploying tracking algorithms to embedded systems.

• Experience in GNC focus areas such as filters, rigid-body dynamics, estimation and control theory, and perturbation modeling.

• AGI STK and/or General Mission Analysis Tool

• To comply with federal export controls, all persons hired must be a U.S. citizen, U.S. national, U.S. lawful permanent resident

Benefits

• Flexible Vacation / Paid Sick Time/ Family Leave

• Medical, Dental, Vision,

• 401(k) Plan

Compensation

$100K to $185K DOE

US Citizenship required.

Contact: alex@imetalx.com

Tel: 650 450 6387