Engineering capabilities

From research to implementation.
Across the complete system.

Digital hardware design, Board Support Packages, firmware, software, and algorithms. Strong Source helps firms investigate new concepts, engineer systems, integrate technologies, and resolve difficult technical problems.

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Technical scope

Find the expertise your system needs.

Engage for a focused engineering task or coordinated work across disciplines, from feasibility through verification and handoff.

01 / Engineering discipline

Research, design & development

Custom system architecture, modeling, algorithm development, and hardware/software prototyping.

Technical scope

  • Embedded system and software architecture
  • Simulation, emulation, and mathematical modeling
  • Computer vision, signal processing, and sensor-data software
  • Digital hardware design, FPGA, and RTL
  • Middleware, IoT, and distributed system integration

Example deliverables

  • Platform trade study
  • Executable system or subsystem model
  • Processing algorithms and pipelines
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02 / Engineering discipline

Embedded platforms

System architecture, board bring-up, BSPs, drivers, embedded Linux, and real-time software.

Technical scope

  • Embedded system and software architecture
  • Custom board bring-up and hardware/software diagnosis
  • Board support packages and hardware abstraction layers
  • Bootloader and startup-chain engineering
  • Device drivers and peripheral integration
  • Embedded Linux, Yocto, and Android platform engineering
  • Real-time and heterogeneous multicore software

Example deliverables

  • BSP source and build configuration
  • Reproducible system image build
  • Timing and resource measurements
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03 / Engineering discipline

Digital hardware design & integration

Digital hardware design, FPGA development, electronic design review, and hardware/software integration.

Technical scope

  • Digital hardware design, FPGA, and RTL
  • Electronic design and mixed-signal system review
  • Embedded networking and high-bandwidth data paths
  • Specialized storage, display, and semiconductor firmware

Example deliverables

  • RTL modules or design changes
  • Schematic or layout contributions as scoped
  • Throughput and synchronization measurements
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04 / Engineering discipline

Space & avionics

Low-level flight software, avionics integration, and supporting verification infrastructure.

Technical scope

  • Flight software and avionics engineering

Example deliverables

  • Flight-platform source and interfaces
  • Avionics integration plan
  • Flight-software test harness
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05 / Engineering discipline

Security & reverse engineering

Embedded product security, firmware analysis, and reverse engineering.

Technical scope

  • Embedded product security and secure system design
  • Hardware/software reverse engineering and vulnerability research

Example deliverables

  • Threat and trust-boundary analysis
  • Behavioral and interface documentation
  • Verification procedures for mitigations
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06 / Engineering discipline

Verification & engineering tools

HIL/SIL, simulation, emulation, build automation, and machine-level tooling.

Technical scope

  • Simulation, emulation, and mathematical modeling
  • Test engineering, HIL/SIL, and automated verification
  • Embedded DevOps, build systems, and release automation
  • Compilers, toolchains, and machine-level tooling

Example deliverables

  • Executable system or subsystem model
  • HIL/SIL architecture and test software
  • Build and CI configuration
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07 / Engineering discipline

Algorithms & connected systems

Signal processing, computer vision, middleware, and distributed system integration.

Technical scope

  • Computer vision, signal processing, and sensor-data software
  • Middleware, IoT, and distributed system integration

Example deliverables

  • Processing algorithms and pipelines
  • Interface specifications
  • Measured algorithm or pipeline performance
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08 / Engineering discipline

Technical leadership & recovery

Hands-on architecture, platform modernization, integration, and project recovery.

Technical scope

  • Principal engineering, technical leadership, and project support
  • Embedded platform modernization and troubled-project recovery

Example deliverables

  • Technical roadmap
  • Work-package definitions and acceptance criteria
  • Migration implementation
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These are examples of available engineering work. Deliverables, staffing, acceptance criteria, and commercial terms are agreed for each engagement.

Ways to engage

Start with the question.
Define the engineering work.

01 / RESEARCH

Investigate & evaluate

Compare architectures, develop models, and use experiments or prototypes to evaluate feasibility. Document findings, assumptions, and tradeoffs to guide the next design decision.

02 / DEVELOPMENT

Design & implement

Develop digital hardware, firmware, software, and interfaces around agreed requirements. Deliver implementation assets with builds, tests, and documentation your team can use.

03 / INTEGRATION

Connect, diagnose & evolve

Integrate subsystems, investigate failures, or extend an existing platform. Establish a baseline and verify changes against agreed behavior and performance criteria.

Industry applications

Engineering shaped by the application.

Timing, interfaces, operating conditions, and lifecycle needs guide the scope and verification approach.

Industrial & semiconductor equipment

Embedded control, mixed-signal integration, high-EMI communication diagnosis, and automated hardware and software verification.

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Space & avionics

Flight-computer platform software, sensor and communication interfaces, simulation, and verification infrastructure.

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Automotive & connected platforms

BSPs, device drivers, Ethernet and CAN interfaces, timing, and heterogeneous processor integration.

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Medical devices

Hardware, firmware, bootloader, and system-interface review, with technical findings and mitigation work scoped to the product.

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Semiconductors, storage & displays

Low-level firmware, display and storage integration, driver development, and post-silicon validation software.

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Scientific & sensor systems

Instrument models, sensor integration, FPGA data paths, image and signal processing, and repeatable test infrastructure.

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Plan the work

Define a useful starting point.

Share the system objective, the open technical questions, and the next milestone. We can then discuss responsibilities, interfaces, and how to evaluate the results.

Prepare for a technical conversation

Use the project brief to organize requirements and constraints, or review illustrative project scopes to see how an engagement can be structured.

Prepare a project briefExample project scopes

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