The successful candidate will be responsible for defining active EO/IR system architectures, performing radiometric performance modeling, and laboratory, ground, and flight testing. They will also model atmospheric and environmental effects for land, sea, and air targets, and leverage their analyses to inform system-level architectural trades.

Key responsibilities include:

• Defining system architectures via detailed trade studies and analyses
• Adapting or deriving physics-based models of sensor system performance and deriving requirements based on those models
• Taking ownership over the development of prototype sensor systems in a lab environment
• Supporting both laboratory-based and field-based experiments and demonstrations
• Engaging technically with the hardware, software, and mission teams to define, integrate, and deliver high-performance systems to our customers
• Validating models against laboratory and real-world data
• Coordinating and communicating with both external & internal stakeholders with varying degrees of technical background

Required qualifications include:

• Model development and validation in one or more domains relevant to remote sensing
• Ability to decompose complex systems into functional parts, with clearly defined interfaces and requirements for each
• Experience in system design and development from initial concept through test and delivery to customer
• Strong laboratory skills (rapid prototyping, design of experiments) and familiarity with opto-electrical test and measurement equipment
• Willingness to travel to test sites, as needed
• Must be able to obtain and hold a U.S. security clearance

Preferred qualifications include:

• Knowledge of current and next-generation advanced sensing systems and platforms
• Active and passive sensing domain experience (e.g., LiDAR, EO/IR, Radar)
• Experience with laser systems, including opto-mechanical scanning and beam steering techniques
• Knowledge of electro-mechanical control systems, including their performance requirements and verification methodologies
• Experience with LiDAR/Radar signal processing techniques, and knowledge of their implementation on real-time embedded platforms (FPGA, MCU, etc.)
• Experience with signature and/or scenario modeling/software packages (MODTRAN, SPIRITS, AFSIM)

Salary: $166,000 - $220,000 USD per year, plus highly competitive equity grants and top-tier benefits for full-time employees, including comprehensive medical, dental, and vision plans, income protection, generous time off, family planning and parenting support, mental health resources, professional development, commuter benefits, relocation assistance, and a retirement savings plan.

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Position Summary As a Senior iOS Engineer, you will be joining the recently acquired UnifyID team at Prove. This team is building the next generation of user authentication that combines behavioural biometrics from smartphone sensor data, machine learning modelling, and enterprise-grade cloud services. The result is an accurate, frictionless, and secure authentication service that defends against malicious attacks on mobile and web experiences.

Responsibilities

• Hands-on coding, systems analysis, design, and delivery of projects assigned
• Deliver new features, execute on the roadmap and plan for the future
• Enhance our existing iOS SDK for an optimal mobile experience
• Provide thought leadership on industry best practices around design, testing, and security
• Manage the iOS SDK API program and documentation
• Mentor other developers

What We Require

• 5+ years of professional software development experience, preferably in a fast-paced environment
• Strong software development principles, including scalable software and architectural design patterns
• Experience executing on complex features leveraging the power of native iOS SDKs
• Strong knowledge of iOS along with competency using standard libraries
• Experience with evaluating and optimising resource usage, including battery usage
• Bachelor’s degree in computer science or related field/experience preferred
• Experience with Android and/or SaaS a plus
• Experience with low-level system data collection from on-device sensors a plus
• Familiarity with Machine Learning and/or Signal Processing techniques a plus

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