Signal Processing Engineer, Radar Systems at Array Labs

Palo Alto, California, United States

Array Labs Logo
Not SpecifiedCompensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Aerospace, DefenseIndustries

Requirements

  • BS or MS in Electrical Engineering, Computer Science, Physics, or a related technical field
  • 3+ years of hands-on experience in digital signal processing
  • Demonstrated expertise in Digital Signal Processing (DSP) fundamentals (e.g., Fourier analysis, digital filter design, sampling theory, estimation theory)
  • Proficiency in MATLAB or Python (with libraries like NumPy, SciPy) for algorithm development, modeling, and simulation
  • U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State (ITAR requirements)

Responsibilities

  • Design, model, and implement novel digital signal processing (DSP) algorithms for next-generation radar systems
  • Focus on critical areas such as pulse compression, Doppler processing, interference mitigation, and advanced filtering techniques to maximize signal quality
  • Collaborate closely with RF, FPGA, and software engineers to ensure algorithms are robust, efficient, and implementable in a real-time environment
  • Develop high-fidelity simulations in MATLAB or Python to validate algorithm performance against theoretical limits and system requirements
  • Analyze and characterize system performance using both simulated and real-world data, paying close attention to metrics like Signal-to-Noise Ratio (SNR), resolution, and ambiguity functions
  • Stay current with the latest advancements in signal processing and radar technology to continuously innovate and improve capabilities

Skills

DSP
MATLAB
Python
NumPy
SciPy
Fourier Analysis
Digital Filter Design
Sampling Theory
Estimation Theory
Pulse Compression
Doppler Processing
Interference Mitigation

Array Labs

Provides high-resolution 3D geospatial imagery

About Array Labs

Array Labs specializes in creating high-quality 3D imagery using a network of small satellites called radar cubesats. These satellites work together to capture images of the same area from different angles, resulting in 3D images that are significantly more detailed than other options available. The company serves various clients, including government agencies and urban planners, who need accurate imagery for tasks like mapping and disaster response. Array Labs operates on a subscription model, allowing clients to access its continuously updated imagery data. Additionally, they offer a pilot program for early access customers to help refine their product based on user feedback. Their unique satellite system enables them to capture large areas quickly, providing timely data regardless of weather or terrain conditions. The goal of Array Labs is to enhance the geospatial imaging industry by offering cost-effective and precise 3D imagery solutions.

Thousand Oaks, CaliforniaHeadquarters
2019Year Founded
$5.4MTotal Funding
SEEDCompany Stage
Data & Analytics, Government & Public Sector, Enterprise SoftwareIndustries
11-50Employees

Benefits

Stock Options
Company Equity
Flexible Work Hours
Professional Development Budget

Risks

Increased competition from companies like Maxar Technologies challenges Array Labs' market position.
Regulatory changes in satellite deployment and data privacy could impact operations.
Open-source geospatial data platforms may attract potential customers away from Array Labs.

Differentiation

Array Labs uses radar cubesats for high-resolution 3D imagery, unlike competitors.
Their imagery is 10 times more detailed than existing alternatives, at lower costs.
The company offers a unique early access pilot program for customer collaboration.

Upsides

Growing demand for real-time geospatial data benefits Array Labs' rapid imaging capabilities.
Smart city initiatives globally require detailed 3D mapping, boosting Array Labs' market.
Advancements in AI enhance 3D imagery analysis, providing Array Labs a competitive edge.

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