3-YEAR IPTV PROGRAM - Custom set-top-box platform
An end-to-end IPTV ecosystem combining custom STB hardware and PCB work with BSP development, Buildroot-based embedded Linux, firmware, live media, recording, transcoding, and billing integration.
EMBEDDED, FIRMWARE & CONNECTED SYSTEMS ENGINEERING
Engineer dependable devices from board bring-up to edge intelligence and fleet operation.
OPTIME develops firmware, board-support software, embedded Linux and RTOS platforms, drivers, connectivity, security, device applications, and operational tooling for connected products.
We also deploy computer-vision, audio, sensor, language, and control models on devices ranging from constrained MCUs to DSP-, NPU-, FPGA-, and GPU-enabled edge systems.
The device, software, connectivity, security, and intelligence must operate as one product.
WHERE EMBEDDED ENGINEERING FITS
Engineering for devices that must operate reliably within real hardware constraints.
- A new board or system-on-module requires bring-up, BSPs, bootloaders, drivers, and operating-system integration.
- Firmware or embedded Linux software must meet real-time, memory, power, startup, or reliability requirements.
- A connected device needs secure identity, remote management, observability, and controlled OTA updates.
- An existing embedded product requires modernization without breaking hardware compatibility.
- Camera, audio, sensor, industrial, automotive, telecom, or consumer-device data must be processed locally.
- AI inference must operate offline, at the edge, or within strict latency and power limits.
- Processing must be distributed across CPU, SIMD, DSP, NPU, GPU, FPGA, or fixed-function engines.
- A prototype must become a maintainable production device and fleet.
ENGINEERING PROOF
Device engineering carried from board bring-up into production operation.
OPTIME’s embedded work spans complete product programs, target-specific platform software, connected devices, cameras, and hardware-aware edge intelligence.
DEVICE SOFTWARE - Cameras and connected products
Production histories include camera subsystems, real-time video capture and streaming, connected-device software, and industrial IoT systems operating within real hardware and network constraints.
EDGE INTELLIGENCE - Models deployed with the device stack
Edge-AI acceleration work connects model adaptation and efficient execution with firmware, embedded Linux, sensors, media paths, updates, diagnostics, and field operation.
EMBEDDED AND CONNECTED SYSTEMS CAPABILITIES
Engineer the complete device software stack.
OPTIME combines low-level software, operating systems, connectivity, security, device applications, local processing, and fleet operation around the actual hardware and product requirements.
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Board Bring-Up, BSPs, Bootloaders, and Drivers
Bring new hardware from initial power-on to a stable software platform with controlled boot, peripheral support, diagnostics, and production-ready interfaces.
- Board bring-up
- BSP development
- U-Boot and bootloader work
- Device trees
- Linux kernel integration
- Device drivers
- Software enablement for customer-specific SoCs, custom boards, and proprietary accelerator modules
- Peripheral initialization
- Clocks and power domains
- Storage and filesystem integration
- Secure boot
- Hardware diagnostics
- Manufacturing and recovery modes
- Hardware and software interface debugging
HOW THE DEVICE FITS TOGETHER
The device is a complete system - not firmware, connectivity, or AI in isolation.
Not every product requires every layer. OPTIME designs the software stack around the target hardware, product behavior, power budget, connectivity, security model, update strategy, and expected operating life.
Product function, users, and operating environment
Sensors, cameras, actuators, and hardware interfaces
Bootloader, BSP, drivers, firmware, RTOS, and embedded Linux
Device services, local APIs, storage, and application logic
Local processing, signal processing, and embedded AI inference
Connectivity, identity, security, and remote management
Cloud, private-platform, gateway, and enterprise integration
OTA updates, fleet telemetry, diagnostics, recovery, and lifecycle operation
MCU, CPU, SIMD, DSP, NPU, GPU, FPGA, system-on-module, and target hardware
DEVICE OPERATING OUTCOMES
Validate the product under the conditions it will face in the field.
Representative measurements
- Boot and response time
- Memory and storage footprint
- Real-time deadline compliance
- Power and thermal behavior
- Connectivity and recovery behavior
- Inference latency and quality
- Update and rollback success
- Long-running stability
Operating principles
- Design for constrained resources
- Keep deterministic controls authoritative
- Support disconnected operation
- Secure identity and updates
- Make failure and recovery observable
- Validate hardware and software together
- Plan for the full device lifecycle
Production outcomes
- Stable board and device platform
- Predictable real-time behavior
- Controlled fleet updates
- Local processing with lower latency
- Maintainable product software
- Actionable field diagnostics
- Hardware-aware edge intelligence
Targets depend on the hardware, workload, environment, safety boundaries, and expected product life. Performance and reliability are measured rather than assumed.
HOW THIS SERVICE IS USED
Typical embedded and connected-device engagements
Representative patterns show how device software, connectivity, security, local processing, and lifecycle operation can be combined around different product constraints.
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New Device Platform and Board Bring-Up
A new board, module, or appliance requires boot, BSP, drivers, operating-system integration, diagnostics, and a maintainable production software baseline.
- Bring-up plan
- BSP and bootloader
- Drivers and interfaces
- Production image
- Diagnostics
- Validation
DELIVERY APPROACH
From hardware constraints to a supportable production device.
Phase 1 - Hardware, Product, and Constraint Definition
- Product behavior
- Target hardware
- Interfaces and peripherals
- Timing and power limits
- Connectivity
- Security and update requirements
Phase 2 - Platform Architecture and Bring-Up
- Boot architecture
- BSP and drivers
- Operating-system selection
- Hardware diagnostics
- Storage and recovery
- Platform baseline
Phase 3 - Feature, Connectivity, Security, and Intelligence Implementation
- Device applications
- Protocols and connectivity
- Identity and provisioning
- Local processing or inference
- OTA controls
- Automated testing
Phase 4 - Production Validation, Deployment, and Lifecycle Operation
- Hardware-in-the-loop validation
- Power and thermal testing
- Failure and recovery testing
- Production images
- Fleet telemetry
- Documentation and handover
START WITH A FOCUSED ENGAGEMENT
Resolve the device architecture before committing to a wider product build.
Embedded Architecture and Bring-Up Assessment
Best for: New boards, modules, appliances, or products that require a clear software-platform plan.
- Hardware and interface inventory
- Boot and BSP plan
- OS and driver architecture
- Security and update baseline
- Risk register
- Implementation roadmap
Edge AI Feasibility and Device Pilot
Best for: Determining whether a model should run on an MCU, CPU, SIMD or DSP path, NPU, GPU, FPGA, gateway, or central platform.
- Workload and model analysis
- Hardware and runtime comparison
- Prototype device path
- Memory, power, and latency results
- Integration risks
- Production recommendation
Embedded Linux or Firmware Modernization Sprint
Best for: Products with outdated, fragile, poorly documented, difficult-to-build, or difficult-to-update software.
- Current-state assessment
- Reproducible build baseline
- Modernization priorities
- Interface and compatibility plan
- Regression strategy
- Delivery backlog
Secure OTA and Fleet Operations Baseline
Best for: Connected products that lack consistent identity, updates, rollback, diagnostics, telemetry, or operational controls.
- Identity and provisioning design
- OTA and rollback architecture
- Telemetry model
- Recovery procedures
- Security boundaries
- Operational runbooks
RELATED SERVICES
When the device crosses into another engineering discipline
Accelerated Computing & Performance Engineering
For deep native-code, SIMD, GPU-kernel, memory, data-movement, and heterogeneous-execution optimization.
Private AI Infrastructure & Inference Optimization
For centralized model serving, private platforms, capacity, security, observability, and inference operations.
Production AI Systems Engineering
For higher-level AI workflows, multi-model coordination, enterprise data integration, evaluation, and product behavior.
Video, Audio, Broadcasting & Streaming Engineering
For complete codec, broadcast, OTT, streaming, and real-time media systems.
Networking, SDN & Open Infrastructure Engineering
For network architecture, SDN, virtual networking, control planes, and open infrastructure around connected fleets.
RELATED WORK
Embedded, Firmware & Edge AI Case Studies
Selected embedded, firmware, connected-device, and edge-AI case studies will be added here as they are approved and updated for publication.
CONTACT US
Discuss your embedded or connected-device project with OPTIME
Share the hardware, firmware, operating-system, connectivity, security, update, power, performance, or edge-inference constraint that must be resolved.
Austin, Texas
Distributed engineering teams across North America, Europe, the Caucasus, and Latin America.
[email protected]