About Inspiren

Inspiren offers the most complete and connected ecosystem in senior living. Founded by Michael Wang, a former Green Beret turned cardiothoracic nurse, Inspiren proves that compassionate care and technology can coexist - bringing peace of mind to residents, families, and staff.

Our integrated solutions seamlessly fit into existing workflows, capturing everything happening within a community. Backed by nurse specialists and powerful analytics, we provide the data operators need to make informed clinical and operational decisions - driving efficiency, profitability, and better care outcomes.

About the Role

We are hiring a Principal Engineer, Systems & Strategic Expansion to be the most senior IC in the engineering organization and the CTO's right hand on technology. This is a building role. At Inspiren, architecture happens by shipping systems, coaching others to make proactive technology investments, and building the tooling that makes good patterns the default. A defining responsibility of this role is making every engineer in the org faster while simultaneously raising the bar on architecture, quality, resilience, and security. We believe agentic development is how you achieve both at once. Your job is to make agentic workflows the fastest, easiest, most correct way to build — so that engineers choose them not because they are told to, but because they are better. You will build the AI platform, agents, skills, templates, and paved roads that make coding agents architecturally literate by default, and you will continuously push that frontier forward. The fast path and the correct path should be the same path, and you are the person who builds that path.

Why This Role

• You will build across the full stack in a single company: IoT device ecosystems and embedded systems at the edge, backend services and cloud infrastructure in the middle, computer vision, ML, and radar powering the intelligence, and a Databricks data platform underneath it all. 
• Every engineer at Inspiren works with AI coding agents daily. The question of how architecture, quality, and velocity work together in that world is wide open. You will answer it by building.
• Communities using Inspiren have cut fall injuries by 86%, reduced emergency response times to 90 seconds, and replaced around-the-clock one-on-one monitoring with ambient intelligence. Your work prevents injuries, makes caregivers' jobs simpler and more humane, and gives families real confidence. The impact is visible in real facilities, with real people, within hours of launch.

What You Will Do

• Lead the product expansion into new markets: new hardware-enabled use cases, new ML-powered detections, new product experiences. Determine what generalizes and what needs to be built new by actually building both.
• Build production systems across the full stack: embedded/IoT, backend (TypeScript/Node.js), AWS cloud infrastructure, Kafka, mobile, and data platform (Databricks/Unity Catalog). 
• Make every engineer faster and better by building the agentic development infrastructure that makes the right way the fast way. AI skills that guide coding agents toward correct patterns. Validation pipelines that catch problems before they merge. Your goal: agentic development is the fastest path to production, and it produces architecturally correct, secure, resilient output by default.
• Proactively drive where the platform needs to go before it becomes a bottleneck. See around corners, create urgency, and build the path. Coach engineers through hard architectural decisions by pairing on designs, giving substantive code review, and helping teams build the judgment to make great decisions — with and without AI agents.
• Drive product urgency. You care deeply about shipping things that reach real users in real care environments. When something needs to ship, you create momentum. When something is being over-engineered, you redirect toward outcomes.
• Lead the product expansion into new markets, partnering with Product on which bets to pursue: new hardware-enabled use cases, new ML-powered detections, new product experiences. Determine what generalizes and what needs to be built new by actually building both.

What You Bring

• 12+ years of engineering experience, with recent years spent building. You have hands-on depth across at least three of: embedded/IoT, backend services, cloud infrastructure (AWS), event-driven architectures, mobile, and data platforms. You are still writing code and shipping systems.
• Architectural impact earned through building. You have shaped technical direction at the org level by shipping systems that established the right patterns, coaching others to extend them, and building the tooling that made those patterns the default. Not through mandates or review gates.
• A point of view on how agentic development changes the way engineering orgs build. You use AI coding tools daily and have gone beyond personal productivity to think about how you make an entire team faster while raising the quality bar. You have built or have strong ideas about building the scaffolding, skills, and infrastructure that make AI agents produce correct output by default.
• Product-engineering instincts and a bias toward shipping. You have launched products or major features with ownership over user outcomes. You know when to simplify, cut scope, or redirect to get something meaningful into production.
• The ability to influence experienced engineers without positional authority, through what you build, the clarity of your reasoning, and the momentum you create.

Bonus

• Experience in healthcare, IoT, or regulated environments (HIPAA, PHI, safety-critical systems).
• Background in computer vision, ML pipelines, radar, or real-time inference systems.
• Experience building products that span hardware, firmware, connectivity, and cloud software.
• Experience with Databricks or similar data platform infrastructure.
• Experience building developer tooling, platform scaffolding, or internal developer experience infrastructure.

Details

• The annual salary for this role is $260,000-$300,000 + equity + benefits (including medical, dental, and vision) 
• Flexible PTO
• Location: Remote, US or Canada - NYC preferred

About Inspiren 

Inspiren offers the most complete and connected ecosystem in senior living. Founded by Michael Wang, a former Green Beret turned cardiothoracic nurse, Inspiren proves that compassionate care and technology can coexist - bringing peace of mind to residents, families, and staff.

Our integrated solutions seamlessly fit into existing workflows, capturing everything happening within a community. Backed by nurse specialists and powerful analytics, we provide the data operators need to make informed clinical and operational decisions - driving efficiency, profitability, and better care outcomes.

About the Role

We're looking for a Senior ML Engineer to build intelligent, scalable workflows powered by cloud-based Vision-Language Models (VLMs). You'll own the end-to-end pipeline: from determining what signals and context need to come off the device to maximize VLM performance, to building and evaluating the cloud-side inference systems that generate high-quality labels at scale. This role sits at the intersection of computer vision, LLMs, and systems engineering, and you'll work closely with our Embedded Systems, Computer Vision, and Data Science teams to close the loop between edge devices and cloud intelligence.

What you'll own

• Design, build, and iterate on VLM-based pipelines that generate high-quality labels and annotations at scale, including prompt engineering, fine-tuning, and evaluation
• Determine which signals, frames, metadata, and contextual features should be sent from edge devices to improve VLM accuracy and reduce ambiguity
• Collaborate with Embedded Systems and Hardware teams to define device-side preprocessing and data-forwarding strategies that balance bandwidth, latency, and model performance
• Collaborate with Data Science to build robust evaluation frameworks to measure label quality, model accuracy, and regression detection
• Benchmark and integrate commercial and open-source VLMs, staying current on the fast-moving landscape of vision-language capabilities

What you bring

• 5+ years of experience in machine learning engineering, with hands-on work in computer vision and/or LLM/VLM systems
• Strong familiarity with Vision-Language Models — you've used, evaluated, or fine-tuned models like GPT-4V, Claude's vision capabilities, Gemini, LLaVA, or similar
• Experience building and evaluating labeling systems at scale
• Solid understanding of how edge/device constraints (bandwidth, compute, power) shape what data is available to cloud-side models
• Proficiency with a modern ML stack: Python, PyTorch, cloud inference APIs, and tools for experiment tracking and evaluation
• Practical prompt engineering skills — you know how to get the most out of large models through structured prompting, few-shot examples, and iterative refinement
• A pragmatic engineering mindset — you care about building systems that work reliably in production, not just in notebooks
• Comfortable scoping and driving work independently in a fast-moving, early-stage environment
• Strong communication skills and a collaborative approach to working across hardware, embedded, and ML teams

Bonus skills

• Experience building model-based automation for data labeling
• Experience building infrastructure for cloud-based inference at scale, for example batching, orchestration, cost management, and monitoring
• Familiarity with edge computing, on-device inference, or embedded ML pipelines
• Experience with video or spatiotemporal data (event streams, multi-frame reasoning, temporal context)
• Healthcare or senior living domain experience

Details

• The annual salary for this role is $200,000-$230,000 + equity + benefits (including medical, dental, and vision) 
• Flexible PTO
• Location: Remote, US or Canada. NYC preferred.
• Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

About Inspiren 

Inspiren offers the most complete and connected ecosystem in senior living. Founded by Michael Wang, a former Green Beret turned cardiothoracic nurse, Inspiren proves that compassionate care and technology can coexist - bringing peace of mind to residents, families, and staff.

Our integrated solutions seamlessly fit into existing workflows, capturing everything happening within a community. Backed by nurse specialists and powerful analytics, we provide the data operators need to make informed clinical and operational decisions - driving efficiency, profitability, and better care outcomes.

About the Role

In this role as a Senior Mobile Engineer, you’ll be steering the development and ongoing enhancement of our iOS and Android app using React Native, contributing to a platform that stands out through its positive impact. Your skill set will also be invaluable in supporting our web app and backend operations when needed. Join our thriving and dedicated team, in an exciting environment where your work fuels real-world good and drives continued growth.

What You’ll Own

• Own the technical direction of the mobile app, including architecture, maintainability, and long-term evolution
• Build critical features using React Native and native iOS and Android where appropriate
• Define and uphold standards for mobile code quality through thoughtful reviews and technical guidance
• Optimize the application's performance in environments with degraded connectivity
• Establish strong automated testing practices that meaningfully protect product quality
• Design and shape APIs and interfaces in partnership with backend engineers to ensure durability and consistency
• Drive mobile app observability, allowing team to understand mobile app performance & feature adoption at-a-glance
• Debug user-reported issues to deliver timely solutions
• Provide guidance to junior developers. Promote best practices for mobile development within the team

What You Bring

• iOS and Android Development: 5+ years of experience in iOS and Android app development, with deep proficiency in the iOS SDK and Xcode.
• React Native: 3+ years of experience building and maintaining production-level applications using React Native.
• Performance & Optimization: Proven ability to optimize mobile application performance, including handling memory management, multi-threading, and connectivity challenges.
• AI Adoption: You actively use AI coding tools (Cursor, Claude Code) as a core part of how you work. Your AI usage goes well beyond basic prompting and into automating tasks, long-running processes, and complex integrations.
• Observability: Experience leveraging app analytics and observability tools to monitor health and drive data-informed improvements.
• Problem Solving: Expert at debugging and addressing complex iOS issues with a high level of ownership and a curious, investigative mindset.
• Collaboration: A kind and helpful teammate who approaches engineering challenges with a collaborative attitude and a desire to help others succeed.

Details

• The annual salary for this role is between $160,000-$180,000 + equity + benefits (including medical, dental, and vision) 
• Flexible PTO
• Location: Remote, US or Canada. NYC Preferred.
• Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

About Inspiren 

Inspiren offers the most complete and connected ecosystem in senior living. Founded by Michael Wang, a former Green Beret turned cardiothoracic nurse, Inspiren proves that compassionate care and technology can coexist - bringing peace of mind to residents, families, and staff.

Our integrated solutions seamlessly fit into existing workflows, capturing everything happening within a community. Backed by nurse specialists and powerful analytics, we provide the data operators need to make informed clinical and operational decisions - driving efficiency, profitability, and better care outcomes.

About the Role

We're looking for a Senior Data Scientist to bring rigor, modeling depth, and a bias toward automation to the data that powers Inspiren. You'll work across the organization, including with our Computer Vision, Machine Learning Engineering, Hardware, and Embedded Systems teams, building models, designing statistical evaluations, and turning one-off analyses into durable workflows that keep improving the product. You should be deeply familiar with the end-to-end ML lifecycle, comfortable reasoning about both classical statistics and modern ML systems, and energized by the opportunity to weave AI into data science workflows.

What you'll do

• Build models and statistical analyses that surface insights about outcomes and performance across Inspiren’s systems
• Design and run rigorous evaluations: offline and online experiments (A/B, shadow deploys, etc.) for new models and product changes
• Identify, evaluate, and integrate new datasets that expand what we can learn and measure
• Lead root-cause investigations when models or systems underperform in the field, and turn findings into concrete recommendations for improvement
• Incorporate AI into data science workflows, using LLMs and agentic tooling to accelerate analysis, code generation, documentation, and decision-making, and help shape how the team adopts these practices
• Reason how to incorporate multiple modalities and sensor data into algorithmic development and performance measurement

About you

• 5+ years of experience in data science, with a focus on statistical modeling and ML systems
• Strong modeling and statistical foundations. You're comfortable choosing the right tool for the problem, whether simple heuristics through ML
• Experience partnering with ML engineering teams, including familiarity with how production ML systems are evaluated and monitored
• Fluency with a modern data science stack: Python, Pandas, PyTorch, Databricks, MLflow, or similar tools for working with data and ML at scale
• Hands-on experience using AI tools (LLMs, coding copilots, agentic workflows) to speed up your own work, and curiosity to experiment with AI tools
• Strong data instincts and a pragmatic bias toward solutions that work in messy, real-world conditions
• A collaborative mindset and interest in working with a diverse teams
• Able to scope, prioritize, and deliver work independently
• Excited about working at an early-stage startup where your work directly shapes care outcomes

Bonus skills

• Experience working on spatiotemporal problems (sensor data, trajectories, event streams, or similar)
• Experience working with health or clinical data
• Healthcare or senior living domain experience

Details

• The annual salary for this role is $170,000-$200,000 + equity + benefits (including medical, dental, and vision) 
• Flexible PTO
• Location: Remote, US or Canada. NYC preferred.
• Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

About Inspiren

Inspiren offers the most complete and connected ecosystem in senior living. Founded by Michael Wang, a former Green Beret turned cardiothoracic nurse, Inspiren proves that compassionate care and technology can coexist - bringing peace of mind to residents, families, and staff.

Our integrated solutions seamlessly fit into existing workflows, capturing everything happening within a community. Backed by nurse specialists and powerful analytics, we provide the data operators need to make informed clinical and operational decisions - driving efficiency, profitability, and better care outcomes.

About the Role

Inspiren is on a mission to build a world where technology augments and empowers human care. As a Software Engineer on our Intelligence & Integrations team, you will be a key player in this mission. You'll work on the core systems that enable our platform to ingest, process, and make sense of real-time data from our hardware devices to deliver on our promise to improve healthcare outcomes and quality of life. Your work will directly impact our ability to scale, from enhancing our data pipelines to building resilient integrations with our customers' Electronic Health Record (EHR) systems. You'll be a key driver in turning raw data into actionable insights for our users.

What You'll Own

• Architecture & Scalability: Partner with engineering leadership to evolve our core data models and APIs, transitioning from our current point-to-point architecture to a more resilient, event-driven system.
• Technical Excellence: Drive a culture of delivering reliable and scalable solutions. You'll be a key voice in defining best practices for integration and end-to-end testing to improve our development velocity and system stability.
• Customer Integrations: Lead the development and maintenance of integrations with third-party systems like EHRs. This includes building clean, well-documented APIs and ensuring our systems can reliably communicate with a diverse range of external platforms.
• Mentorship: Mentor and elevate other engineers on the team, particularly in the areas of distributed systems, AWS best practices, and secure development.

What You Bring

• Experience: You have 5+ years of experience in backend or full-stack development, with a strong background in building scalable, cloud-native applications.
• Cloud: Deep expertise with AWS infrastructure, including serverless technologies (Lambda, Fargate), message queues (SQS/SNS), and data services (Kinesis, DynamoDB, RDS).
• Programming: Proficient in TypeScript and Node.js. Experience with React is a plus.
• Databases: Experience with both relational databases like PostgreSQL and NoSQL databases like DynamoDB.
• Data Models: A strong understanding of data modeling principles and their application in building scalable and performant APIs.
• AI Adoption: You actively use AI coding tools (Cursor, Claude Code) as a core part of how you work. AI usage goes well beyond basic prompting and into automating tasks, long-running processes, and complex integrations.
• Problem Solver: You excel at breaking down complex, ambiguous problems into clear, actionable steps. You thrive in a fast-paced environment and are motivated by delivering tangible, high-impact results.
• Collaborator: You are a strong communicator, capable of working with product, data science, and other engineering teams to solve real-world business challenges. You believe that great software is built through close collaboration.
• Communication: Excellent verbal and written communication skills, with the ability to convey complex ideas clearly.
• Adaptability: Comfortable working in a fast-paced, dynamic environment and adapting to changing priorities.
• Start-up experience is a plus.

About Inspiren

Inspiren offers the most complete and connected ecosystem in senior living. Founded by Michael Wang, a former Green Beret turned cardiothoracic nurse, Inspiren proves that compassionate care and technology can coexist - bringing peace of mind to residents, families, and staff.

Our integrated solutions seamlessly fit into existing workflows, capturing everything happening within a community. Backed by nurse specialists and powerful analytics, we provide the data operators need to make informed clinical and operational decisions - driving efficiency, profitability, and better care outcomes.

About the Role

From our realtime monitoring platform to deeper longitudinal insights, data is at the heart of everything Inspiren does. We are seeking a highly skilled Senior Data Platform Engineer to own, maintain, and develop our data infrastructure built on Databricks and AWS to scale and accelerate our data capabilities across the company.

What You'll Own

• Collaborate with engineering, data science, ML, data engineering, and product analytics teams to understand and shape the future needs of our data platform and infrastructure.
• Define, drive, and implement the future live ingestion layer of data into our data platform (e.g. Kafka, Kinesis). 
• Define and evolve standards for storage, compute, data management, provenance, and orchestration. 
• Monitor current and forecast future infrastructure needs and costs based on business requirements.
• Implement and manage role-based access management. 
• Design and implement reusable tooling and frameworks for data consumers (e.g., data quality monitoring frameworks, templated pipelines, foolproof backfilling capabilities).

What You Bring

• Experience: 5+ years of experience in data infrastructure, platform engineering, data engineering, or similar. 
• Cloud Providers: Demonstrated hands-on experience with Databricks. AWS experience is a plus but not required. 
• Data Warehousing: Expertise in modern data warehouse and lakehouse architectures.
• Data Pipelines: Expertise in modern ETL technologies and building and supporting data pipelines at scale. 
• Access Control and Management: Familiarity with access control, data governance, and security.
• Reliability: Demonstrated experience of reliability, observability, and monitoring of infrastructure and systems. 
• DevEx: Experience building and maintaining data platforms with a wide variety of stakeholders/users with a diversity of technical expertises.
• AI Adoption: You actively use AI coding tools (Cursor, Claude Code) as a core part of how you work. Your AI usage goes well beyond basic prompting and into automating tasks, long-running processes, and complex integrations.
• Scalability: Demonstrated ability to scale cloud-based data workloads, whilst optimizing and monitoring cost
• Communication: Excellent verbal and written communication skills, with the ability to convey complex ideas clearly.
• Adaptability: Comfortable working in a fast-paced, dynamic environment and adapting to changing priorities.
• Start-up experience is a plus.
• Health-tech experience is a plus.

Details

• The annual salary for this role is $180,000-$200,000 + equity + benefits (including medical, dental, and vision) 
• Flexible PTO
• Location: Remote, US or Canada.
• Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.