Build systems
that work together.

Position Overview

Own embedded architecture and implementation for systems that combine firmware, sensors, electronics, and edge intelligence. Lead development from technical requirements through integration, debugging, and verification.

Key Responsibilities

• Translate product and system requirements into embedded architecture, interfaces, and implementation plans.
• Develop and review firmware for microcontrollers and embedded platforms, including drivers, device control, communications, and data acquisition.
• Integrate sensors and electronic subsystems; diagnose system behavior with appropriate lab and software tools.
• Evaluate edge and embedded AI approaches against memory, latency, power, and reliability constraints.
• Lead system bring-up, integration, verification, and root-cause analysis across hardware and software.
• Set code and design review practices, document technical decisions, and mentor engineers.

Preferred Background & Qualifications

Demonstrated senior-level experience delivering embedded or connected systems. Strong C/C++ and Python skills; hands-on work with microcontrollers, embedded Linux or RTOS, device interfaces, and communication protocols. Experience debugging integrated hardware/software systems and communicating technical tradeoffs.

Tools & Technical Areas

C/C++, Python, microcontrollers, RTOS or embedded Linux, sensor interfaces, communication protocols, version control, and electronic test equipment, selected to fit the project.

Position Overview

Lead the design and evaluation of AI systems that work with images, audio, and structured or biomedical signals. Connect sound modeling choices to the data, deployment environment, and intended use.

Key Responsibilities

• Frame AI and signal-processing problems and define suitable data, evaluation, and deployment approaches.
• Design data preparation, feature engineering, model training, and inference workflows for vision, audio, or signal applications.
• Establish meaningful baselines and evaluate robustness, generalization, failure cases, and operational constraints.
• Integrate models into applications or edge systems and improve performance where needed.
• Review model and system behavior, document assumptions and limitations, and communicate results to technical and nontechnical partners.
• Provide technical direction through design reviews, mentoring, and reproducible engineering practices.

Preferred Background & Qualifications

Demonstrated senior-level experience in applied machine learning, signal processing, or computer vision. Strong Python skills and experience with modern ML frameworks, evaluation methods, and real-world data workflows. Ability to lead technical work and explain model limitations clearly.

Tools & Technical Areas

Python, PyTorch or equivalent ML frameworks, NumPy/SciPy, scikit-learn, OpenCV or audio tooling, experiment tracking, and model evaluation methods.

Position Overview

Set technical direction for electronics and mixed-signal subsystems, from architecture and circuit decisions through PCB prototypes, lab validation, and system integration.

Key Responsibilities

• Lead electronic architecture and circuit design for sensor, analog, digital, and mixed-signal systems.
• Define interfaces, signal-conditioning approaches, power strategy, component selection, and design constraints.
• Guide schematic capture, PCB layout reviews, prototype bring-up, and design iteration.
• Plan and perform bench measurements; investigate noise, signal integrity, EMC, and integration issues as appropriate.
• Assess IC- and RF-related design considerations and coordinate subsystem boundaries where required.
• Establish design-review standards, mentor engineers, and communicate risks and tradeoffs across the product team.

Preferred Background & Qualifications

Principal-level experience leading electronics design and prototype development. Strong foundation in analog and mixed-signal circuits, sensor interfaces, PCB design, and laboratory measurement. Proven ability to guide design decisions across disciplines and take systems from concept to validated prototype.

Tools & Technical Areas

Schematic and PCB design tools, analog and mixed-signal design methods, oscilloscopes, signal generators, analyzers, and documentation/version-control workflows.

Position Overview

Lead development of reliable software products that connect AI models, data, and user workflows. Own application architecture, integration quality, and evaluation from prototype through maintainable delivery.

Key Responsibilities

• Lead system design for AI-enabled applications, including service boundaries, data flows, interfaces, and deployment needs.
• Build and maintain application features, APIs, and integrations with models and external systems.
• Implement evaluation and observability workflows to assess output quality, reliability, latency, and failure behavior.
• Design practical safeguards, privacy-aware data handling, and resilient error paths.
• Partner with product and engineering colleagues to translate user needs into clear technical plans.
• Review code and architecture, mentor engineers, and maintain clear operational and technical documentation.

Preferred Background & Qualifications

Demonstrated senior-level experience building and delivering software applications. Strong programming and system-design skills, with experience integrating model APIs or ML services into user-facing products. Comfortable with testing, production-quality code, security and privacy considerations, and technical leadership.

Tools & Technical Areas

Modern application frameworks, APIs, cloud or edge deployment environments, databases, version control, automated testing, and AI model integration tools appropriate to the product.

Position Overview

Lead analytical work that turns business questions and complex data into validated metrics, decision-support tools, and practical recommendations.

Key Responsibilities

• Partner with stakeholders to define analytical questions, decision context, KPIs, and success criteria.
• Lead data profiling, cleaning, transformation, and quality checks for structured datasets.
• Develop reproducible SQL and Python analyses, dashboards, and business-intelligence workflows.
• Apply statistical and predictive methods where they address a defined need; compare results against clear baselines.
• Use AI-assisted methods appropriately and verify data, calculations, sources, and generated conclusions.
• Present findings, assumptions, limitations, and recommended next steps to technical and business audiences.
• Set standards for analytical reproducibility and mentor colleagues on data quality and interpretation.

Preferred Background & Qualifications

Demonstrated senior-level experience in data analytics, business intelligence, or applied data science. Strong SQL and Python skills, sound statistical reasoning, and experience building stakeholder-facing analyses or dashboards. Able to lead ambiguous analytical work and communicate limitations.

Tools & Technical Areas

Python, SQL, notebooks, data visualization and BI tools, statistical and machine-learning libraries, and AI-assisted analytics tools where appropriate.

Position Overview

Lead financial and risk analysis using structured financial, market, or regulatory information. Build clear, traceable analytical work that supports sound business decisions.

Key Responsibilities

• Analyze financial statements, operating performance, capital, liquidity, credit quality, and risk indicators.
• Develop comparable metrics and peer analyses while documenting definitions, sources, and assumptions.
• Prepare and validate structured financial, market, or regulatory datasets.
• Identify trends, concentrations, anomalies, and potential risk signals; explain the evidence and limits.
• Use AI-assisted research or analysis only with independent source, calculation, and claim verification.
• Develop analytical models, dashboards, and concise written findings for decision-makers.
• Review analytical methods and mentor colleagues on financial data quality and interpretation.

Preferred Background & Qualifications

Demonstrated senior-level experience in financial analysis, risk analytics, accounting, economics, or a related field. Strong financial-statement literacy, spreadsheet and data-analysis skills, and disciplined attention to source quality. Python or SQL experience is beneficial. Clear, careful written communication is essential.

Tools & Technical Areas

Financial and regulatory data, spreadsheets, Python and/or SQL, analytical and visualization tools, and approved AI tools with documented verification.