About Life360

Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 91.6 million monthly active users (MAU), as of September 30, 2025, across more than 180 countries.

Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).

Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.

Life360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above. 

We are AI Native 

We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.
Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.

About the Devices Cloud Team

The Devices Cloud team owns the backend services that power Life360's fleet of connected hardware — Tile trackers, Jiobit wearables, Pet GPS trackers, and emerging device categories. We manage real-time device state, high-frequency telemetry ingest, and the cloud infrastructure that translates physical-world signals into reliable, family-facing experiences. Our work sits at the intersection of hardware, firmware, mobile, and platform — and runs at a scale where correctness and reliability aren't optional.

We are an AI-Native team. AI isn't an add-on to how we work — it's how we work. We've redesigned our development workflows around AI, using it as a first-class collaborator at every stage: spec writing, code generation, test authoring, incident triage, and system design. We ship faster and go deeper because of it. We're looking for engineers who want to help define what AI-native backend development looks like for complex, hardware-connected systems.

About the Job

As a Sr. Staff Cloud Engineer on the Devices Cloud team, you will own the technical direction of the cloud systems that power Life360's connected hardware — Tile trackers, Jiobit wearables, and emerging device categories. This is a systems-level leadership role: you are the recognized technical authority for our device cloud infrastructure, spanning real-time state management, high-frequency telemetry ingest, and the integration layer that connects physical hardware to family-facing experiences.

At this level, your work extends well beyond implementation. You set technical direction, define architectural standards, mentor Staff and Senior engineers, and partner with engineering and product leadership to align the technical roadmap with company goals. You operate across teams and functional groups — influencing firmware, mobile, platform, and data teams — and your decisions shape systems serving tens of millions of families daily.

You are also a leader in AI-native engineering. You don't just use AI — you define how it should be used. You architect agent-driven workflows, codify practices that multiply team output, and partner with engineering leadership to spread these patterns across the broader organization.

For candidates based in the US, the salary range for this position is $216,500 to $318,500 USD. For candidates based out of Canada, the salary range is 251,000 to $295,000 CAD. Note: We take into consideration an individual's background and experience in determining final salary- therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

What You'll Do

• Own the technical architecture and long-term roadmap for Devices Cloud systems — device connectivity, telemetry ingest, state management, command/control, and data pipelines — ensuring they are scalable, secure, and resilient at Life360's scale.
• Define and drive system-level technical direction across multiple teams, identifying architectural trade-offs, resolving cross-team design conflicts, and aligning engineering efforts with company strategy.
• Lead AI-native engineering practices for Devices Cloud: architect agentic workflows, codify patterns for AI-assisted spec writing, code generation, test coverage, and incident response — and partner with org leadership to extend these playbooks broadly.
• Partner with firmware, mobile, product, and platform teams to define APIs, integration standards, and device-driven workflows that translate cleanly across the hardware-software boundary.
• Drive the architecture and delivery of large-scale, cross-team initiatives — from conception through production — managing dependencies, unblocking teams, and maintaining accountability for outcomes.
• Anticipate system bottlenecks, failure modes, and security risks before they materialize; define safeguards and engineering standards that prevent class-of-problem recurrences.
• Mentor and grow Staff and Senior engineers across the team: provide architectural guidance, conduct high-quality technical reviews, and act as a force multiplier for team output.
• Collaborate with engineering and product leadership to influence organizational priorities, advocate for technical investments, and communicate technical strategy to executive stakeholders.
• Represent the team in cross-functional forums; produce clear, concise architectural documentation and roadmap artifacts accessible to both technical and non-technical audiences.
• Participate in on-call rotation and lead high-severity incident response, including post-mortems and systemic remediation.

What We're Looking For

• 12+ years of experience designing and operating large-scale backend or cloud infrastructure systems — with a strong preference for IoT, telematics, or hardware-adjacent domains.
• Demonstrated track record of setting technical direction across teams, driving architectural decisions, and aligning engineering roadmaps with business goals.
• Deep expertise with cloud-native infrastructure (AWS: EKS, Lambda, DynamoDB, SQS, Kinesis, etc.), distributed systems design, and high-throughput data pipelines.
• Strong hands-on experience with agentic AI workflows — not just prompt engineering, but architecting multi-agent systems, managing context, and building AI-native development practices at a team or org level.
• Proven ability to mentor Staff and Senior engineers, elevate team-wide engineering standards, and drive cultural change through influence rather than authority.
• Exceptional communication skills: able to distill complex architectural concepts for diverse audiences, from junior engineers to executive leadership.
• Ability to navigate ambiguity, manage competing priorities across groups, and lead through influence in a cross-functional environment.
• Experience with high-frequency ingest systems, time-series data, and streaming platforms (Kafka, Kinesis, or similar).
• Bachelor’s Degree in a Technical field, or equivalent experience.

Nice-to-Have

• Experience with IoT, telematics, embedded, or firmware-adjacent systems.
• Background in SRE practices, reliability engineering, and progressive delivery.
• Familiarity with observability platforms (Prometheus, Grafana, OpenTelemetry, DataDog).
• Experience contributing to industry conversations: open-source projects, conference talks, or technical publications.
• Knowledge of hardware/firmware communication protocols (MQTT, BLE, CoAP, etc.).

AI-Native Expectations 

We use AI coding tools as a professional standard on this team. Here's what that means in practice:

• Daily use: You use AI coding assistants (we support Claude Code, Cursor, and GitHub Copilot) for real, substantive tasks: analysis, coding, refactoring, testing, navigating codebases, and documentation. Not just research or autocomplete.
• Judgment and ownership: AI-generated code gets the same review you'd give any PR. You are accountable for everything you ship.
• Velocity: We expect senior engineers who use AI well to operate with meaningful leverage — doing more with the same time, taking on problems that would otherwise require a larger team.
• Team leadership: You share what works. You automate prompting strategies that others can build on and help teammates earlier in their AI workflow adoption get up to speed.
• Continuous learning: The tooling is changing fast. You stay current and bring recommendations to the team when something would meaningfully improve how we work.

Our Benefits

• Competitive pay and benefits
• Medical, dental, vision, life and disability insurance plans (US and Canada)
• 401(k) plan with company matching (US) / RRSP with DPSP matching (Canada)
• Employee Assistance Program (EAP) for mental well-being
• Flexible PTO, plus several company-wide days off throughout the year
• Winter and Summer week-long synchronized company shutdowns
• Learning & Development programs
• Equipment, tools, and reimbursement support for a productive remote environment
• Free Life360 Platinum Membership for your preferred circle
• Free Tile Products

Life360 Values

Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference.

• Be a Good Person — We have a team of high-integrity people you can trust.
• Be Direct With Respect — We communicate directly, even when it’s hard.
• Members Before Metrics — We focus on building an exceptional experience for families.
• High Intensity, High Impact — We do whatever it takes to get the job done.

Our Commitment to Diversity

We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.

We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the above qualifications, you should still seriously consider applying!

#LI-Remote

About Life360

Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 91.6 million monthly active users (MAU), as of September 30, 2025, across more than 180 countries.

Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).

Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.

Life360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above. 

We are AI Native 

We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.
Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.

About the Devices Cloud Team

The Devices Cloud team owns the backend services that power Life360's fleet of connected hardware — Tile trackers, Jiobit wearables, and emerging device categories. We manage real-time device state, high-frequency telemetry ingest, and the cloud infrastructure that translates physical-world signals into reliable, family-facing experiences. Our work sits at the intersection of hardware, firmware, mobile, and platform — and runs at a scale where correctness and reliability aren't optional.

We are an AI-Native team. AI isn't an add-on to how we work — it's how we work. We've redesigned our development workflows around AI, using it as a first-class collaborator at every stage: spec writing, code generation, test authoring, incident triage, and system design. We ship faster and go deeper because of it. We're looking for engineers who want to help define what AI-native backend development looks like for complex, hardware-connected systems.

About the Job

As a Senior Backend Engineer on the Devices Cloud team, you'll build and operate the cloud services that power Life360's connected devices. This role sits at the intersection of hardware, firmware, and mobile — translating real-world device signals into reliable, scalable backend systems.

You don't just use AI tools. You think natively in them. Your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews. You'll help establish and evolve AI-native engineering practices for the Devices Cloud team — playbooks the broader org can adopt — while delivering backend systems that serve millions of families daily.

For candidates based in the US, the salary range for this position is $148,000 to $216,500 USD. For candidates based out of Canada, the salary range is 171,500 to 201,000 CAD. Note: We take into consideration an individual's background and experience in determining final salary- therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

What You'll Do

• Design, build, and maintain backend services for device connectivity, telemetry ingest, health monitoring, and command/control operations — using AI (Claude Code) as a first-class collaborator in your daily development workflow.
• Use agentic workflows to dramatically increase delivery velocity without sacrificing quality: from generating service scaffolding, to writing and validating test coverage, to triage and root cause analysis during incidents.
• Help define and codify AI-native engineering practices for the Devices Cloud team — establishing patterns the broader org can adopt.
• Collaborate with firmware, mobile, and product teams to define APIs and workflows for device-driven features.
• Build and own data pipelines for high-throughput telemetry streams using Kafka or similar streaming technologies.
• Deliver scalable, resilient microservices on AWS (EKS, Lambda, DynamoDB, SQS, etc.).
• Instrument services for observability, reliability, and SLO compliance.
• Participate in on-call rotation and live incident response.
• Write clean, testable, performant code; contribute to CI/CD automation and improve team-wide engineering standards.
• Mentor teammates and help evolve the team's AI-native engineering culture.

What We're Looking For

• 5+ years of experience building and operating high-quality backend services in Java, Go, Python, or similar languages.
• Hands-on experience prompting, evaluating, and building with LLMs — not just autocomplete, but as a genuine development partner.
• Deep experience with agentic workflows, prompt engineering, context window management, and MCP/function calling.
• A track record of using AI tooling to multiply your own output — faster specs, better test coverage, cleaner code, faster debugging.
• Strong experience with microservices architecture, RESTful API design, and distributed systems.
• Solid skills with cloud infrastructure (AWS preferred), container orchestration, and production deployments.
• Experience with databases (relational and/or NoSQL), caching, and event/streaming systems.
• Ability to collaborate across teams and articulate technical tradeoffs clearly.
• A genuine drive to define what AI-native looks like for complex, hardware-connected systems — you're not waiting for the playbook, you want to write it.

Nice-to-Have

• Experience with IoT, telematics, or embedded/hardware-adjacent systems.
• Familiarity with Kafka, Kinesis, or other high-throughput streaming platforms.
• Experience with high-frequency ingest systems and time-series data.
• Background with observability tooling (Prometheus, Grafana, OpenTelemetry, DataDog).
• Knowledge of SRE practices and automated testing frameworks.

AI-Native Expectations 

We use AI coding tools as a professional standard on this team. Here's what that means in practice:

• Daily use: You use AI coding assistants (we support Claude Code, Cursor, and GitHub Copilot) for real, substantive tasks: analysis, coding, refactoring, testing, navigating codebases, and documentation. Not just research or autocomplete.
• Judgment and ownership: AI-generated code gets the same review you'd give any PR. You are accountable for everything you ship.
• Velocity: We expect senior engineers who use AI well to operate with meaningful leverage — doing more with the same time, taking on problems that would otherwise require a larger team.
• Team leadership: You share what works. You automate prompting strategies that others can build on and help teammates earlier in their AI workflow adoption get up to speed.
• Continuous learning: The tooling is changing fast. You stay current and bring recommendations to the team when something would meaningfully improve how we work.

Our Benefits

• Competitive pay and benefits
• Medical, dental, vision, life and disability insurance plans (US and Canada)
• 401(k) plan with company matching (US) / RRSP with DPSP matching (Canada)
• Employee Assistance Program (EAP) for mental well-being
• Flexible PTO, plus several company-wide days off throughout the year
• Winter and Summer week-long synchronized company shutdowns
• Learning & Development programs
• Equipment, tools, and reimbursement support for a productive remote environment
• Free Life360 Platinum Membership for your preferred circle
• Free Tile Products

Life360 Values

Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference.

• Be a Good Person — We have a team of high-integrity people you can trust.
• Be Direct With Respect — We communicate directly, even when it’s hard.
• Members Before Metrics — We focus on building an exceptional experience for families.
• High Intensity, High Impact — We do whatever it takes to get the job done.

Our Commitment to Diversity

We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.

We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the above qualifications, you should still seriously consider applying!

#LI-Remote

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 the role:

Samsara is looking for an experienced Staff Software Engineer to join our Cloud Governance Platform team. This team builds the foundational platforms that enforce governance, identity security, compliance, and software supply-chain protections across all of Samsara’s cloud infrastructure and developer environments.

Rather than relying on manual reviews or policy enforcement, this team delivers secure, compliant-by-default systems through cloud IAM guardrails, automated controls, and scalable platform abstractions across AWS and GCP.

As a Staff Engineer, you will operate as a technical leader and force multiplier: driving architecture, influencing engineering direction across teams, and building highly reliable, secure platforms that scale with Samsara’s global footprint supporting millions of connected devices.

Our final interview stage is a full-day, in-person onsite at our SF office. This is an exciting opportunity to collaborate face-to-face with our senior technical leaders and dive deep into the hard problems we are solving.

This is a remote position open to candidates based in the US.

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

In this role, you will: 

• Lead the technical direction and architecture of Samsara’s Cloud Governance Platform, spanning cloud IAM, security controls, compliance enforcement, and software supply-chain security.
• Define and own the roadmap and long-term vision for governance and security platforms across AWS and GCP.
• Drive compliance through engineering, translating regulatory frameworks into automated, continuously enforced controls.
• Own software supply-chain security initiatives, including SAST, DAST, and secure CI/CD patterns.
• Partner with Infrastructure, Security, Compliance, and Product Engineering to solve complex, cross-functional risk and governance challenges.
• Mentor engineers across teams and contribute to a strong engineering culture through technical guidance and example.
• Communicate architectural decisions, tradeoffs, and risks clearly to technical and non-technical stakeholders.
• Champion and embed Samsara’s cultural principles as the organization scales.

Minimum requirements for this role.

• Bachelor’s degree or higher in Computer Science, Engineering, or related field.
• 8+ years of software engineering experience, with significant experience building and operating cloud platforms at scale.
• Deep hands-on expertise in cloud infrastructure (AWS, GCP, or similar).
• Strong understanding of cloud security, IAM systems, threat models, and mitigations.
• Proven track record of leading large technical initiatives with cross-team impact.
• Experience designing and operating highly reliable, scalable distributed systems.
• Strong communication skills and ability to influence without direct authority.

An ideal candidate also has:

• Experience building internal developer platforms or governance systems used across many teams.
• Background in developer tools, infrastructure, or productivity engineering.
• Experience with software supply-chain security practices and tooling.
• Proficiency in Golang, Python, Terraform, or similar platform-focused technologies.
• Strong judgment in balancing developer experience, platform adoption, and enforcement of security controls.

The Role

As a Lead Software Engineer, you’ll wear two hats: driving complex technical projects from conception to delivery while coding alongside the team, and providing people leadership to a small group of direct reports (3–5 engineers). This role is designed to keep you technical—we aim for a 70/30 split between building and managing. This is hands-on technical leadership with meaningful people impact.

We’re building the next generation of sleep technology that seamlessly connects millions of IoT devices through complex mobile applications. Our iOS and Android apps handle real-time Bluetooth/Wi-Fi communication with hardware, process massive datasets, and maintain sub-second response times across distributed systems.

This role has broad scope across the mobile organization — you’ll collaborate across our three Hatch Pillars (Adult, Kids, Foundations) and partner with mobile engineers throughout the teams. This role also means stepping into AI-forward technical leadership. Hatch is all-in on AI-assisted development — it's not a future state, it's how we work today. The right person will help us continue raising the bar on how our engineers use these tools, set expectations for what good looks like, and model that for others.

You’ll play a meaningful role in work that spans the full Hatch product experience: transitioning from device-first to service-first experiences, launching AI-powered sleep chat to scale expert guidance, and building features that drive daily engagement. You’ll help shape the technical foundation across the mobile platform and contribute to initiatives that touch every part of what Hatch builds.

What You’ll Do

Week 1

• Ship your first code to production and begin to establish credibility with the engineering team.
• Review existing codebase and identify immediate technical improvements.

Within 3 Months

• Technical Leadership: Own delivery of major features, and jump into production issues or improvements, debug cross-platform problems spanning mobile/firmware/backend
• Cross-Pillar Ramp: Get hands-on across Pillar 0, 1, and 2 during your rotation, building context on how the full mobile platform fits together. Begin contributing meaningfully to your team’s initiatives — shipping features, improving platform reliability, and driving daily app engagement
• Project Ownership: Understand problem spaces, partner with stakeholders to shape project scope, and bring Engineering Requirements Docs (ERDs) to Engineering Forums
• People Management: Take on your direct reports. Establish regular 1:1 cadence with direct reports, providing feedback and discussing professional development
• Cross-functional Collaboration: Work closely with Product, Design, QA, and other stakeholders to scope, plan, and rapidly ship features
• AI Integration: Champion AI-assisted development practices within your team — not just using the tools yourself, but creating the conditions where others adopt them faster and go deeper.

Within 6 Months

• Technical Leadership: Lead cross-team technical initiatives, establish team standards for code quality, and mentor junior & senior engineers
• Navigate Project Ambiguity: Break down complex projects into concurrent tasks, advocate for incremental shipping, and share progress openly
• People Development: Set goals and learning plans for direct reports, identify growth opportunities, and guide them to be effective both technically and professionally
• Pillar Partnership: Serve as a strong Engineering partner to product and pillar leadership across the organization, building working relationships with leads throughout the mobile team. Help determine resourcing needs and drive your team toward business goals — with an eye on how your work connects to the platform as a whole
• Raise the AI Bar: Establish clear expectations around how the team uses AI tooling. Help define what "good" looks like so that as new engineers join, there's a standard to onboard into, not just an assumption.

After 1 Year

• Strategic Impact: Drive business strategy through mobile initiatives and shape the roadmap across the mobile organization — contributing to platform decisions that benefit all pillars and the people who use Hatch every night
• Team Building: Assist with identifying resource needs, actively participate in hiring, and help onboard new engineers
• Process Optimization: Collaborate with teams and business partners to develop processes that enable the organization to deliver business value quickly
• Performance & Growth: Conduct performance reviews and represent your direct reports’ development to leadership

What You’ll Bring

• Deep Mobile Craft: You’ve spent 6+ years building mobile apps that matter—whether in Swift/SwiftUI or Kotlin/Jetpack Compose. You care about code quality, reliability, and making great experiences for real people
• Technical Leadership: You love leading by example—writing production code, unblocking others, and helping teams make smart, pragmatic decisions. You’re as comfortable setting direction as you are rolling up your sleeves
• People Growth: You believe great teams make great products. You’ve managed and/or mentored engineers, built trust, and created environments where people do their best work
• Collaborative Energy: You thrive in cross-functional spaces—partnering with Product, Design, and other engineering leaders to turn ideas into reality. You communicate clearly and lead with empathy
• AI Leadership: You don't just follow AI trends — you shape how your team works with them. You're already using AI tools to build faster, think sharper, and raise the bar on what's possible. You'll help set the standard for how Hatch's mobile team continues to evolve as the tooling does.
• Broad Technical Reach: You bring experience with modern mobile tooling, CI/CD, testing, and cloud services—and you’re always eager to explore new technologies, tech stacks, and approaches

Deal Breakers

• Need extensive mobile onboarding or mentoring on technical leadership
• Haven’t led complex technical projects or managed direct reports
• Looking for pure management or pure IC role
• Unable to balance hands-on coding (70%) with people leadership (30%)
• Not interested in partnering closely with product managers, designers, and other stakeholders
• Needs full clarity before acting — you'll be expected to drive through ambiguity, not wait for it to resolve.

At Tenstorrent, interns don’t just write code—they help shape the future of AI compute. As a Software Compiler Intern, you’ll work with a dedicated mentor and collaborate across software, firmware, hardware, and systems teams. This is a rare chance to work on performance-critical code and gain experience across the full AI stack.

This role is on-site based in Toronto, Canada.

Who You Are

• Pursuing (or recently completed) a degree in EE, CE, CS, or a related field.
• Solid foundation in C/C++ and algorithms; Python skills are a bonus.
• Curious about compilers, ML, parallel systems, or processor architecture.
• Problem-solver who enjoys working across abstraction layers

What We Need

• Contribute to the development of Tenstorrent’s ML graph compiler.
• Benchmark and optimize key ML workloads across hardware/software.
• Build performance analysis tools to inform compiler and runtime design.
• Collaborate with ML and systems teams to co-design across the stack.

What You Will Learn

• Compiler design for machine learning models and workloads.
• End-to-end co-design of software and cutting-edge AI hardware.
• Performance tuning and analysis in a high-performance runtime.
• Real-world ML integration with frameworks and low-level systems.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

We are seeking an IP Software Generalist to develop and optimize the software stack for our IP customers, enabling them to successfully integrate our AI and RISC-V hardware into their systems. In this role, you will build and support a versatile range of software components, from bare-metal firmware and drivers to system-level tools and APIs, ensuring a seamless customer experience. You will partner closely with hardware engineering, IP delivery, customer support, and product teams to deliver robust, scalable, and high-performance software solutions tailored to diverse customer architectures. Success in this role requires adaptability, strong system-level debugging skills, and the ability to bridge the gap between complex hardware IP and user-friendly software integration.

This role is hybrid, based out of Austin, TX; Toronto, ON; or Santa Clara, CA.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Experienced software engineer with a strong foundation in C/C++, system programming, and low-level software design.
• Background in firmware, device drivers, embedded systems, or hardware-software co-design.
• Skilled at navigating and troubleshooting complex, full-stack software environments.
• Known for working effectively with cross-functional teams and external customers to resolve integration challenges.
• Able to balance versatile, hands-on coding with high-level architectural problem-solving.

What We Need

• Develop, optimize, and maintain software components for Tenstorrent’s hardware IP offerings.
• Define and build reference software, SDKs, and toolchains to streamline the customer integration process.
• Diagnose and resolve complex hardware/software interaction issues during customer bring-up and deployment.
• Drive the creation of high-quality documentation, test suites, and integration guides for IP software deliverables.
• Partner cross-functionally with hardware and architecture teams to ensure future IP designs are optimized for software usability.

What You Will Learn

• How to build and deploy robust software stacks for cutting-edge AI and RISC-V silicon IP.
• How to drive successful hardware-software integration across a diverse range of customer environments and architectures.
• Firsthand exposure to the complete silicon IP lifecycle, from initial bring-up to massive-scale customer deployment.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Join our innovative team as a Director, Systems & Solutions where you'll play a pivotal role in deploying and optimizing cutting-edge computer systems and AI hardware. If you have a passion for hardware technologies, including accelerators, CPUs, GPUs, and thrive in a dynamic, hands-on technical environment, we would love to hear from you. In this role you will be leading a team and helping us scale our customer base.

This role is hybrid, based out of Santa Clara, CA; Austin, TX or Toronto, ON.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• A hands-on manager with a deep understanding of computer systems and AI hardware, driven by curiosity and a passion for performance.
• You’re comfortable getting into the technical details - from CPU and GPU architecture to firmware and drivers and thrive in dynamic, hands-on environments.
• You excel at problem solving and enjoy working directly with customers to implement and optimize advanced computing solutions.
• You communicate clearly, collaborate effectively across teams, and take pride in delivering reliable, high-quality systems.
• You’re motivated by impact - eager to see your work come to life in the next generation of AI and high-performance compute deployments.

What We Need

• Strong experience with computer hardware and system architecture, including CPUs, GPUs, FPGAs, and AI accelerators.
• Deep understanding of Linux operating systems, with experience in configuration, performance optimization, and administration.
• Proficiency in system software, including drivers, firmware, and related hardware-level tools.
• Working knowledge of electrical systems, including wiring, cabling, and thermal management.
• The ability to travel up to 50% of the time both domestically and internationally. 

What You Will Learn

• How to deploy, validate, and optimize AI compute systems at scale across diverse customer environments.
• End-to-end exposure to hardware-software integration, from firmware and drivers to full system bring-up.
• Hands-on experience with accelerator-based architectures and cutting-edge hardware design.
• Collaboration with world-class engineering teams building open, high-performance systems based on RISC-V and modular chiplet architectures.
• The opportunity to directly shape how customers adopt and scale next-generation AI and HPC hardware, helping push the boundaries of performance and efficiency.
  
  

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Curious about how cutting-edge hardware actually comes to life? We're looking for someone who’s excited to dive into the core of next-gen systems and help make them real. In this role, you’ll validate high-speed interfaces, solve complex system-level puzzles, and collaborate across teams to shape the future of AI/ML computing. If firmware, hardware, and hands-on debugging sound like your kind of fun — let’s chat!

This role is hybrid and based in Vancouver, Canada. 

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• You love bringing hardware to life and enjoy the thrill of solving tricky problems across the hardware–firmware boundary.
• You’re hands-on in the lab and comfortable with tools like oscilloscopes, protocol analyzers, and JTAG — digging deep doesn’t scare you.
• You’re comfortable jumping into unfamiliar problems and figuring things out — whether it’s in the lab or in firmware.
• You’re curious, collaborative, and excited to work on technology that pushes the boundaries of performance.

What We Need

• Someone to take the lead in validating our next-gen PCIe interfaces — from controller to PHY, and everything in between.
• A strong collaborator who can work across hardware, firmware, and software teams to bring up new features and solve problems.
• A sharp debugger who’s comfortable triaging issues across hardware, firmware, and software layers.
• A detail-oriented thinker who thrives in fast-paced environments and enjoys seeing ideas come to life in real systems.

What You Will Learn

• How to work at the cutting edge of compute — validating next-gen hardware and making it production-ready.
  How different pieces of a system come together — from multi-die chiplets to firmware integration and beyond.
  How to use advanced tools and techniques to debug and tune complex system interactions.
  How to shape emerging technology in a collaborative, fast-moving engineering environment.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

This role sits at the intersection of embedded systems, silicon validation, and advanced networking. You'll work with best-in-class IP from leading vendors and in-house designs, bringing up and validating these IPs in silicon, and building robust validation infrastructure that ensures performance, interoperability, and reliability at scale.

This role is hybrid, based out of Toronto, Canada, Vancouver Canada, Santa Clara, California or Austin, Texas.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Passionate about low-level software that brings hardware to life—seeing it run on real systems never gets old.
• Drawn to complex, cross-disciplinary problems at the intersection of hardware and software.
• Excited by high-speed networking challenges like SerDes tuning, link training, and Ethernet MAC/PHY.
• Have pride in hands-on debugging and working across teams to make systems fast, reliable, and ready for the real world.

What We Need

• A passion for breaking and fixing complex hardware-software systems.
• Comfort with designing tests that push things to their limits: functional, performance, integration—you name it.
• Experience in lab work—system bring-up, running experiments, and working with emulation tools.
• A love for writing firmware and scripts to automate testing, dig into issues, and keep things running smoothly.

What You Will Learn

• What it means to shape AI acceleration hardware from the ground up—starting at first principles.
• How to validate complex Ethernet IP from simulation all the way to production silicon.
• The mastery of collaborating with world-class silicon, systems, and software teams to tackle frontier engineering challenges.
• How to define the networking architecture that will power the next era of AI platforms.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

We are looking for a Staff Digital Design Engineer to help define, build, and optimize high-performance IP and SoC architectures for next-gen AI and compute workloads. This role is ideal for engineers who thrive at the intersection of microarchitecture, RTL implementation, and performance-aware design.

This role is hybrid, based out of Toronto, Ottawa, Boston, or Austin. 

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• A digital design expert with a deep understanding of computer architecture and IP microarchitecture.
• Skilled in RTL development (Verilog/VHDL) and familiar with full ASIC flows.
• Comfortable optimizing for power, performance, and area (PPA) under aggressive design goals.
• A naturally collaborative and technical engineer — you thrive in spec definition, peer reviews, and team-wide planning.

What We Need

• Architecture and RTL implementation of Tenstorrent’s custom IP blocks and SoC components.
• Performance-aware design decisions for compute, interconnect, or memory-heavy blocks.
• Occasional contributions to validation using emulation, FPGA prototyping, or UVM flows.
• Strong synthesis and timing closure awareness to support backend teams.
• Prior experience in on-chip fabric and interconnect designs is an asset.

What You Will Learn

• How cutting-edge AI chips are built, from spec to silicon.
• What it takes to collaborate with teams designing novel processor and memory architectures.
• How to blend custom logic with standard SoC elements for power and scale.
• How cross-functional workflows come together across design, DV, physical, and firmware teams.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

We are looking for an ASIC Design Methodology Engineer to advance our design infrastructure and flows across RTL development, verification, and physical implementation. This role is ideal for engineers who thrive on improving design quality, enabling scalability, and automating methodologies that accelerate silicon success.

This role is hybrid, based out of Toronto, Ottawa, Austin, or Boston.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• A strong advocate for design quality and productivity, with expertise in ASIC design flows.
• Skilled in RTL design and familiar with static and dynamic analysis tools.
• Comfortable automating design checks and improving methodology for scalability and reuse.
• A collaborative engineer who partners effectively across RTL, verification, and backend teams.

What We Need

• Develop and maintain ASIC design methodologies and infrastructure for RTL development and integration.
• Own and evolve static code analysis (Lint, CDC, RDC, DFT) and RTL-netlist logic equivalency design methodologies
• Develop synthesis timing constraints (SDC) and low power design specifications (UPF)
• Support RTL-to-GDS flow enablement, ensuring clean handoffs and sign-off readiness.
• Collaborate with EDA vendors and internal tool owners to optimize performance, quality, and runtime.

What You Will Learn

• How large-scale AI SoCs are architected, integrated, and brought to silicon.
• How methodology choices directly impact design performance, power, and verification closure.
• How to build and scale ASIC design flows supporting cutting-edge compute architectures.
• How to integrate cross-functional workflows across design, DFT, DV, physical, and firmware teams.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Our Tensix team is building custom AI compute cores, RISC-V CPUs, and chiplet-based architectures for datacenter, edge, and automotive AI. Design Verification Engineers on this team validate compute IP and subsystems and build scalable DV infrastructure to keep verification fast, automated, and production-grade.

This role is hybrid, based out of Toronto, ON or Austin, TX.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Experienced in modern verification methodologies with strong SystemVerilog skills and exposure to structured testbench development.
• Comfortable working from block-level to system-level verification and reasoning about microarchitecture behavior from specs and waveforms.
• Proficient in Linux environments with Python, or Bash scripting for automate builds, parse logs, manage CI pipelines.
• Skilled in coverage-driven verification and confident debugging across RTL, testbench, and workload scenarios.
• Motivated by AI hardware and eager to learn verification strategies for new architectures and domains.

What We Need

• Contribute to verification of Tensix IP and subsystems from early planning through tape-out, owning coverage goals and driving them to closure.
• Build and maintain reusable verification environments, agents, scoreboards, and supporting infrastructure in SystemVerilog and Python.
• Develop constrained-random and directed tests and close functional, code, and assertion coverage using data-driven approaches.
• Debug complex issues across RTL and testbench while collaborating with design, firmware, compiler, and architecture teams.
• Help evolve DV infrastructure including regression flows, CI/CD integration, EDA compute environments, and reproducible setups.

What You Will Learn

• How Tenstorrent verifies AI-native compute architectures including Tensix cores, RISC-V CPUs, matrix units, vector units, and datapath.
• How simulation, emulation, and software-driven workloads combine to validate both functional correctness and performance.
• How numerical precision formats such as BF16, FP4, and INT8 and on-chip dataflow impact verification complexity and coverage strategy.
• How to build scalable DV infrastructure across hybrid compute environments including containerized regression systems.
• How data analytics and modern AI tooling can enhance verification workflows and accelerate convergence.

About the role:

Samsara is hiring a Senior Software Engineer II to join our Operational Excellence (OPX) team within the Developer Experience organization.

DevEx is responsible for the engineering environment that a globally distributed engineering org relies on every day, from build and deploy systems to development tooling and AI-assisted workflows that help teams move quickly and confidently. 

Within DevEx, the Operational Excellence (OPX) team keeps production healthy at scale. 

We provide engineering teams the platform capabilities, observability tooling, automated safeguards, incident management tooling, and safe feature release systems they need to deliver highly available systems, ship features with confidence, and investigate and mitigate incidents faster.

OPX is focused on raising the bar for system stability, resilience, and reliability across Samsara -- building automated safeguards that protect production, ensuring engineers get the right signals at the right time, and giving teams the visibility they need to stay in control of their services. We're also investing in AI-driven operational tooling and partnering directly with product engineering teams to strengthen their operational posture.

Our final interview stage is a full-day, in-person onsite at our SF office. This is an exciting opportunity to collaborate face-to-face with our senior technical leaders and dive deep into the hard problems we are solving.

This is a remote position open to candidates residing in the ET time Zone in the US and Canada. Relocation assistance will not be provided for this role.

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact – helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win – together.

In this role, you will: 

• Design and build automated reliability and self-healing systems that protect production at scale, including automated rollbacks, deploy safeguards, and fault mitigation, and deliver them as platform tooling that engineering teams across the company adopt for their own services.
• Own and improve incident management tooling and on-call health. Reduce alert noise, surface actionable signals, and empower engineering teams to operate their services confidently with minimal operational burden.
• Develop and evolve our observability infrastructure, including monitoring, alerting, SLOs, and performance regression detection, to give teams real-time, actionable visibility into system health and latency.
• Contribute to AI-driven operational tooling that goes beyond triage, building toward autonomous remediation where AI detects issues, takes corrective action, and self-recovers with minimal human involvement.
• Drive incident prevention by identifying systemic patterns and ruthlessly eliminating operational toil. You have deep empathy for on-call engineers and a bias toward making their lives better.
• Partner directly with product engineering teams to diagnose reliability gaps, reduce their operational burden, and help them adopt best practices for running their services.
• Define and champion operational excellence best practices across engineering through guardrails, scorecards, and standards that help teams run their services reliably by default.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role:

• 8+ years of experience designing and building products in a software engineering team.
• Bachelor's Degree in Computer Science/Engineering or equivalent practical experience.
• 3+ years of experience in infrastructure and/or platform engineering-focused teams.
• Expertise in Observability and reliability, operational metrics, and data analysis.
• Proven track record in architecting monitoring frameworks, SLO platforms, and automated response workflows, Datadog (or equivalent observability tooling like New Relic, Grafana).
• Proven experience working on large-scale enterprise software applications.
• Experience in Developer Experience (DevEx) & Internal Portals: Designing and implementing solutions/tools that centralize and simplify engineering operations.
• Familiarity with cloud platforms (AWS, GCP, or the like).
• Experience in implementing AI-driven automation across the software development lifecycle (SDLC) to reduce developer friction, automate repetitive technical tasks, and accelerate time-to-delivery. Routinely applies AI tools across your workflow.
• Familiarity with Experienced at writing high-quality code (Go, Python, or equivalent) focused on infrastructure, deployment, and operations challenges.
• Experience mentoring and supporting engineers and role modeling engineering practices within a technical lead capacity.
• Proactive growth mindset, always looking at ways to improve the status quo.

An ideal candidate also has:

• Strong communication skills and a desire to collaborate across teams.
• Experience with incident management tooling (Incident.io, PagerDuty, or equivalent).
• Experienced with Infrastructure as Code (Iac) - Terraform.

The Role

We’re looking for a Senior Full-Stack Software Engineer with deep expertise in Next.js, TypeScript, PostgreSQL/Supabase, and AI-assisted development to design, build, and deliver the scalable, secure systems behind our cybersecurity platform.

This is a hands-on, product-focused role for an engineer who:

• Thrives at the intersection of secure software engineering, data-heavy systems, and product innovation
• Is fluent in AI tooling (Cursor, Devin, Copilot, etc.) and knows how to turn them into real velocity — not toys
• Can design full-stack solutions, think strategically about risk and performance, and help us move business logic closer to the data layer (Postgres + Supabase)

What You’ll Do

• Full-Stack Development: Build and maintain secure, scalable web applications using Next.js/React, TypeScript, and Node – backed by PostgreSQL on Supabase (and AWS RDS during migration). Own features end-to-end from UI to database.
• Database-Centric Application Logic: Design and implement business logic close to the data using Postgres functions, views, triggers, Row-Level Security (RLS), and Supabase Edge Functions, minimizing unnecessary middleware and enabling high performance and strong data isolation.
• AI-Accelerated Development: Treat tools like Cursor, Devin, GitHub Copilot, and agent frameworks as core parts of your workflow. You'll use them to scaffold and refactor full-stack features, generate and evolve schemas, migrations, and RLS policies and build internal agents that automate repetitive engineering tasks and glue systems together
• Application Security First: Embed security best practices into every layer of development — from secure coding and dependency management to data protection and authentication/authorization (Supabase Auth, OAuth2/OIDC, SSO). Collaborate with security researchers to ensure features align with threat models.
• Product Collaboration: Work hand-in-hand with product managers and designers to translate customer pain points into impactful, intuitive features. Participate in product discovery and help shape roadmaps with a strong technical and data-informed perspective.
• Architect & Scale: Design and optimize API contracts, edge endpoints, and event flows using Next.js (server components, API routes) and Supabase (Edge Functions, real-time). Consider performance, resiliency, and multi-region deployment (read replicas, data partitioning) as first-class concerns.
• Data Expertise: Model and optimize relational data in PostgreSQL for large, multi-tenant workloads. Own indexing strategies, query performance, and data partitioning approaches to support 10x–30x growth in customers and data.
• Security-Integrated DevOps: Support automated testing, CI/CD pipelines, database migrations, and vulnerability scanning throughout the development lifecycle. Work closely with infrastructure engineers on Supabase + AWS environments, observability, and performance tuning.
• Mentorship & Collaboration: Provide guidance and thoughtful code reviews to peers, fostering a culture of quality, security, and ownership. Help raise the bar on full-stack, data-centric, and AI-native engineering practices.
• Continuous Learning: Stay ahead of trends in AI-assisted engineering, agentic systems, application security, Next.js, and modern Postgres/Supabase practices, and share what you learn with the team.

What We’re Looking for

• Senior Full-Stack Engineer with experience building and shipping production web apps using Next.js/React, TypeScript, PostgreSQL, and a Node-based backend
• AI-native developer who regularly uses AI-assisted dev tools (e.g., Cursor, Copilot, Devin) to move faster, improve code quality, and explore design options, and knows when to verify output
• Strong backend and data modeling skills in Postgres; experience with Supabase (Auth, RLS, Edge Functions, migrations) or similar Postgres-based platforms is a plus
• Security-conscious engineer with a solid understanding of secure web application development, authentication/authorization, and modern security best practices; familiarity with software supply chain security or interest in learning quickly
• Experience deploying and operating applications in the cloud (ideally AWS), with working knowledge of Docker, CI/CD, and modern managed or serverless platforms
• Product-minded and collaborative, balancing technical rigor with user and business needs, caring about testing and maintainability, and communicating clearly in a remote, cross-functional team

Your 90-Day Success Path

• 30 Days: Ship small full-stack features in our Next.js + Supabase stack; learn our security and data architecture; demonstrate effective use of AI tools + agentic workflows in your day-to-day work.
• 60 Days: Own and deliver secure, high-impact features end-to-end; contribute to schema and API design; help refine patterns for RLS, migrations, edge functions, and internal AI/agent tooling.
• 90 Days: Lead new initiatives, drive improvements in performance and security posture, shape our full-stack and AI-native architecture, and mentor peers on Next.js, Supabase, and AI-accelerated development.

Our Tech Stack

• Languages: TypeScript, JavaScript, Python
• Frontend: Next.js, React
• Backend / Platform: Supabase (PostgreSQL, Auth, Edge Functions, Storage), Node/TypeScript services
• Data: PostgreSQL (Supabase + AWS RDS during migration), Redis
• Auth & Security: Supabase Auth, OAuth2/OIDC, GitHub, Trivy, Snyk
• Infrastructure: AWS, Docker, Kubernetes (for supporting services), modern CI/CD
• AI Tools: Cursor, Devin, GitHub Copilot, and modern agent frameworks where appropriate

Why Finite State?

• Be a part of building the leading platform for connected device cybersecurity.
• Join a fast-moving team that values transparency, innovation, and impact.
• Work fully remotely with a high degree of autonomy and ownership.
• Comprehensive Benefits
• Investment: We offer learning stipends to support your professional development
• Equity: We offer equity so you can share in our growth and success
• Help solve some of the most pressing cybersecurity challenges facing connected device  manufacturers and the millions of people who depend on them

Compensation

• Tier 1 (San Francisco, New York, Seattle): $227,000 - $270,000 
• Tier 2 (All Other Locations): $181,000 - $216,000

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking an Embedded Developer Intern who will assist in further developing our telematics device as well as assisting in the development of the next generation of telematics devices. If you love technology, and are keen to join an industry leader - we would love to hear from you!

What you'll do:

As an Embedded Developer Intern your key area of responsibility will be designing, writing, and testing C, C++, and Rust code for Geotab’s GO telematics devices. This position also maintains and improves testing tools and processes, ensuring that new releases perform as expected. You will need to work closely with other Embedded Systems developers, engineers, and internal technical teams in determining the architecture and constraints of the project.

To be successful in this role you will have a keen eye for the details to consistently adhere to coding standards and perform peer QA and code reviews. Being inquisitive and constantly looking for a new technical challenge or to use a new tool will also contribute to your success. In addition, the successful candidate will have strong communication skills, in their technical documentation, collaboration with teammates, and with providing technical support to other Geotab teams.

The opportunity:

• 12 month work-term beginning September 2026.
• Full-time, paid internship: Monday - Friday, 37.5hrs/week.
• Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
• Learn more about the Geotab Campus Program here.
• This posting is for an existing vacancy.

How you'll make an impact:

• Develop an in-depth understanding of the GO device firmware and how all the modules work.
• Perform firmware development in C for security features or modules adjacent to security features such as connectivity, memory and firmware updates.
• Write unit tests and perform integration and system-level testing in both real and simulated vehicles, to demonstrate that new features meet design requirements.
• Write SQL queries and Python scripts on data from Google BigQuery to determine device health and effectiveness of new functionality.
• Conduct comprehensive testing and code reviews to ensure that industry coding standards are followed.
• Debug firmware issues and identify areas for code improvements.
• Keep up-to-date documentation for all areas of responsibility.

What you'll bring to the role:

Proto is accelerating the world's transition to an open economy with products that increase access and independence for everyone. We're building Bitkey, a simple and safe self-custody bitcoin wallet that will put customers in control, as well as hardware and software that will help decentralize bitcoin mining and enable new and innovative use cases for bitcoin mining. We're developing these products in the open - you can read more about them at bitkey.build and mining.build. Within Proto, our Bitcoin Products team delivers the product and go-to-market strategy, software, firmware, and custom silicon needed to make Bitkey and our ambitious mining initiatives a reality. Come build the future of money with us!

The Role

We are looking for an ASIC Validation Engineer to help bridge the gap between custom mining silicon design and real-world operation. In this highly hands-on, lab-focused role, you'll work closely with ASIC designers and system engineers to debug issues, build test infrastructure, and generate the data needed to enable rapid design iteration and system-level development.

You Will:

• Bring up new silicon on bench platforms, evaluation boards, and system hardware
• Debug issues across ASIC, board, firmware, and system interactions
• Develop bench tests, scripts, and tools to exercise silicon features and collect data
• Build and maintain test setups (lab automation, instrumentation, fixtures, scripts)
• Partner with ASIC designers to validate functionality and root-cause failures
• Work with system engineers to ensure silicon performs correctly in target system environments, including mining systems
• Generate and analyze data to support design decisions, characterization, and bring-up
• Create lightweight, reusable test workflows and documentation for the broader team
• Support early manufacturing efforts with practical validation and debug, as needed
• Travel up to 20% to the labs in Oakland, CA or Toronto, Canada

You Have:

• Bachelor's degree in Electrical Engineering or related field
• 4+ years of experience in silicon validation, hardware test, or related roles
• Strong hands-on experience in a lab environment (bench bring-up, debugging, instrumentation)
• Solid understanding of digital systems and basic analog concepts
• Experience writing scripts or tools (Python preferred) for test and data analysis
• Comfortable debugging issues that span multiple layers (ASIC ↔ board ↔ system)
• Clear communication skills and ability to work closely with cross-functional teams

Preferred:

• Experience with ASIC or FPGA bring-up and validation
• Familiarity with common interfaces (SPI, I2C, JTAG, UART, etc.)
• Experience using lab equipment (oscilloscopes, logic analyzers, power supplies, etc.)
• Exposure to high-performance, power-dense systems (e.g., mining ASICs, accelerators, or similar)
• Experience building test automation or internal tooling
• Familiarity with data analysis and visualization

Nice to Have

• Experience working with early silicon / first bring-up environments
• Exposure to manufacturing test or ATE
• Experience working on systems with tight power, thermal, and performance constraints

Role Overview

As a Principal Product Applications Engineer at Astera Labs, you will be at the forefront of enabling the world's leading cloud service providers and server/network OEMs to successfully deploy connectivity solutions. This high-impact role sits at the intersection of cutting-edge silicon, firmware, and customer success—where you'll tackle complex technical challenges that push the boundaries of AI infrastructure connectivity.

You will serve as a trusted technical advisor to strategic customers, guiding them through design-in, bring-up, and optimization of Astera Labs products. With a strong firmware orientation, you'll dive deep into embedded systems, debug intricate firmware-hardware interactions, and drive issues to resolution across the full stack. Your insights from the field will directly influence product roadmaps and engineering priorities, making you a critical bridge between customers and our R&D teams.

This is an opportunity to work on industry-defining connectivity products that power next-generation data centers and AI platforms—all within a fast-paced, hypergrowth environment where your contributions have immediate and visible impact.

Key Responsibilities

• Customer Technical Engagement
  • Provide expert technical guidance to tier-1 customers throughout the design-in lifecycle, from early evaluation through production deployment
  • Build trusted relationships with customer engineering teams, serving as the go-to resource for product integration
  • Deliver technical presentations, training sessions, and design reviews to accelerate customer success
• Firmware Debug & Issue Resolution
  • Investigate and reproduce customer-reported issues involving firmware, silicon, hardware design, and system-level interactions
  • Drive root cause analysis and coordinate cross-functional teams to deliver timely resolutions
  • Develop firmware-based tools, scripts, and utilities to streamline debug and validation workflows
• Technical Collateral & Knowledge Sharing
  • Create high-quality application notes, integration guides, and technical documentation for internal and external audiences
  • Provide actionable feedback to product, firmware, and silicon teams to continuously improve products and customer experience
  • Contribute to the development of reference designs and best practices for product deployment
• Lab Validation & Bring-Up
  • Execute hands-on silicon and system bring-up activities, including firmware validation and performance characterization
  • Utilize lab equipment such as protocol analyzers, high-speed oscilloscopes, and traffic generators to diagnose complex issues
  • Support interoperability testing across diverse customer platforms and configurations

Basic Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, or related field
• 8+ years of experience in product applications, field applications, or systems engineering roles supporting complex semiconductor products
• Strong firmware development and debugging skills, including proficiency in embedded C and Python
• Experience with high-speed interfaces such as PCIe Gen5/6/7 or Ethernet
• Demonstrated ability to triage and resolve multi-layer issues spanning silicon, firmware, and system environments
• Excellent written and verbal communication skills with a track record of producing clear technical documentation

Preferred Qualifications

• Master's degree in Electrical Engineering, Computer Engineering, or related field
• Experience with Ethernet products, retimers, or PCIe connectivity solutions
• Hands-on experience with protocol analyzers, high-speed oscilloscopes, and BERTs
• Background working directly with cloud service providers, server OEMs, or networking equipment manufacturers
• Understanding of data center architectures including servers, AI platforms, JBOGs/JBODs, and network switches
• Familiarity with physical layer concepts and signal integrity fundamentals

The base salary range for this role is CAD 180,000 – CAD 205,000. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for a performance bonus, equity, and benefits.

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Scientist Intern who can help us discover the value out of our rich and large datasets. Our ideal team member will have the mathematical and statistical expertise you’d expect, but a natural curiosity and creative mind that’s not so easy to find. As you mine, interpret and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the ultimate goal of realizing the data’s full potential. You will join a team of data specialists, but will “slice and dice” data using your own methods, creating new visions for the future. If you love technology and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a Data Scientist Intern, you will be a crucial part of producing innovative analytics from Geotab’s big data environment. We believe that there is collective value in the massive amount of data arising from all of our sensors across the globe. And most importantly, we believe this data can be used to improve safety, infrastructure, and productivity for our customers. You will work with our team of data scientists and engineers who have curated our data repository and have created a series of near real-time and historical datasets. You will leverage data mining techniques, Machine Learning, Deep Learning, Neural Networks and other Artificial Intelligence and statistical analysis tools to build models and high-quality prediction systems to help our customers make informed and smarter decisions. You will work closely with Data Analysts, Data Engineers, Professional Services, Data Privacy & Governance, firmware as well as other internal departments such as Software Development and Solutions Engineering to achieve these objectives.

The opportunity:

• 8+ month work-term beginning September 2026.
• Full-time, paid internship: Monday - Friday, 37.5hrs/week.
• Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
• Learn more about the Geotab Campus Program here.
• This posting is for an existing vacancy.

How you'll make an impact:

• The primary objective of this internship is to develop a "Reasoning & Automation" solution that evolves Geotab Ace into a fully integrated, context-aware assistant. Key goals include:
  • Multi-Modal Ingestion: Implement a multi-modal ingestion layer (leveraging technologies like Google's LiveAPI) capable of processing screen content, audio, and text simultaneously to establish real-time user context.
  • Contextual Enrichment: Develop mechanisms to automatically enrich user prompts with environmental state (e.g., current page URL, visible data charts), eliminating the need for users to manually explain their context.
  • Proactive Assistance & Navigation: Extend the reasoning capabilities of the agent to not only answer data queries but also guide users through complex workflows ("Where do I go to...") and offer proactive support.
  • Optimization of RAG & SQL Generation: Continue to refine the underlying RAG architecture and "text-to-SQL" generation for Google BigQuery to ensure the answers provided are accurate, safe, and efficient.

What you'll bring to the role:

Who you are:

Geotab is looking for an Embedded Developer Intern to join the Video Platform team. We’re primarily an embedded linux team and as an intern, your responsibilities will include making firmware contributions, writing automated HIL/SIL tests, video platform data analytics and working on the end-to-end telematics platform. If you’re someone interested in low-level firmware development and want exposure to video telematics, this is a perfect opportunity. Tech stack includes: C, C++, Rust, Python and GBQ. Geotab is also an AI-forward company – we expect you to be aware of latest developments in the Gen AI space and use the various internal tools available to supplement your everyday work.

What you'll do:

You’ll gain an in-depth understanding of Geotab’s vehicle telematics platform and devices. This includes the flagship GO device as well as the expandable suite of devices (“IOXes”). As part of the video platform team, you’ll get an opportunity to work on a suite of embedded linux based video products. Our team primarily works on the firmware side (BSP, kernel, OS, networking etc.). You’ll have an opportunity to contribute to firmware on different SoCs and work on a multitude of video platform features that enable critical video recording and/or use-cases for our customers. As well, you’ll write automated HIL/SIL tests to help validate the firmware. You’ll also help maintain the team’s CI/CD infrastructure so we can effectively build and deploy our firmware. You’ll interact with teams working on the video recording user-space apps and services (including CV use-cases). You’ll also work on analyzing and making sense of the data from the device using GBQ.

The opportunity:

• 4 month work-term beginning September 2026.
• Full-time, paid internship: Monday - Friday, 37.5hrs/week.
• Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
• Learn more about the Geotab Campus Program here.
• This posting is for an existing vacancy.

How you'll make an impact:

• Develop an in-depth understanding of Geotab telematics devices (including the GO device and IOXes)
• Make video platform firmware contributions in C, C++ or Rust
• Write automated hardware-in-loop and software-in-loop tests on our internal automation framework (Python)
• Contribute to CI/CD infra of the video platform team (Gitlab pipelines etc.)
• Contribute to internal team onboarding wiki/docs
• Write GBQ queries to analyze and make sense of data from the device(s) and visualize them using Superset dashboards

What you'll bring to the role:

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking an Vehicle Systems Engineering Intern who will focus on growing Geotab's world class vehicle support by researching new vehicles, reverse engineering their systems and automating the process with software tools. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a Vehicle Systems Engineering Intern your key area of responsibility will be to gain access to vehicles both in person and remotely across the world, to reverse engineer vehicular systems. This includes electrical, hardware and communications systems, protocols and legislation. In the past, students have developed software tools in C# and python, built big data dashboards using Google Big Query, reverse engineered vehicles from scratch using our in house CAN analysis software, helped diagnose vehicle issues… the list goes on!  You will need to work closely with all development teams across Geotab and implement new initiatives across Big Data, Firmware, Software/ Mobile development and Hardware teams.

To be successful in this role you will be a self-starter with strong written and verbal communication skills, and have the ability to quickly understand complex, technical concepts. In addition, the successful candidate will have strong analytical and project management skills with an ability to identify needs, develop effective solutions, and manage projects through completion. The successful candidate will also be able to manage multiple timelines and contrasting priorities to ensure timely results.

The opportunity:

• 8 month work-term beginning September 2026.
• Full-time, paid internship: Monday - Friday, 37.5hrs/week.
• Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
• Learn more about the Geotab Campus Program here.
• This posting is for an existing vacancy.

How you'll make an impact:

• Reverse engineer vehicular systems including electrical, hardware and communications systems and protocols
• Document and design methods to collect data from vehicles in a way that is digestible by Geotab's hardware and software teams
• Support the global reverse engineering vision and process by contributing to the use, design and implementation of the software tooling
• Use Cloud-based data warehouses (e.g. BigQuery and Google Cloud compute) for automated analysis of vehicle data and identify vehicle support gaps from our products
• Assist in the product development cycle through proof of concepts and the execution of beta testing

What you'll bring to the role:

Astera Labs is seeking an exceptional Director of System Validation to lead our AI Fabric Validation organization. Connectivity is a critical component of every AI accelerator deployment and hyperscale data center architecture. As part of the AI Fabric Engineering group, you will play a key role in ensuring that Astera Labs’ fabric solutions perform at scale and deliver system-level performance across the most demanding AI and ML workloads. This role offers a unique opportunity to shape validation strategy for cutting-edge connectivity silicon and gain deep insight into next-generation AI infrastructure platforms. Your primary responsibility will be to build and lead a world-class validation organization tasked with validating all silicon, firmware, and system-level solutions at scale, ensuring performance, reliability, and production readiness across customer deployments. 

Job Description 

• Seeking a strong technical leader who has delivered multiple SoC products. 
• Lead and scale the system validation organization for Astera Labs' AI fabric portfolio, building a high-performing team across multiple concurrent product programs. 
• Understand the performance and functionality requirements of our AI fabric switches to enable customers to develop Data Center systems using Astera Labs' connectivity products for AI and ML applications. 
• Own comprehensive validation strategies for AI fabric switch products. Drive execution through scalable automation platforms and data-centric testing with automated reporting and specification compliance verification. 
• Collaborate cross-functionally with Architecture, Hardware, Firmware, and Software teams to influence product requirements and ensure validation excellence. 
• Ensure timely bringup of new silicon and platforms, driving rootcause analysis and crossfunctional debug of hardware, firmware, and system issues. 
• Deliver high confidence validation results that support product qualification, customer sampling, and mass production readiness. 
• Engage directly with key customers to understand their requirements and highlight the unique capabilities of Astera Labs' solutions. 
• The ideal candidate brings deep expertise in silicon/system validation, a strong architectural mindset, and a proven ability to scale organizations in fastmoving, highperformance computing environments. 
• Work closely with silicon design, architecture, Firmware, software engineering teams to ensure cohesive validation strategies. 
• Drive a culture of technical excellence, accountability, and continuous improvement. 
• Manage resource planning, and vendor/partner relationships. 

Basic Qualifications 

• Strong academic background in Electrical or Computer Engineering. Bachelor's required, Master's preferred. 
• ≥15 years' experience supporting or developing complex SoC/silicon products for Server, Storage, Networking applications and highperformance hardware companies. 
• ≥5 years hands-on experience with Silicon/System bring-up, validation, and debug, including in customer systems. 
• ≥2 years building high performance Engineering teams and validation methodologies. 
• Deep understanding of CPU, GPU, SoC, or AI/ML accelerator architectures, including memory subsystems, I/O, power management, and firmware interactions. 
• Expertise in validation methodologies: presilicon simulation/emulation, postsilicon bringup, system validation, stress testing, and performance characterization. 
• Strong background in debug methodologies, lab infrastructure, and automation frameworks. 
• Excellent communication skills and ability to influence executives and crossfunctional partners. 
• Entrepreneurial, open-minded behavior and can-do attitude. Think and act with the customer in mind! 

Preferred Experience: 

• ≥5 years leading validation teams planning, execution and maintaining project visibility. 
• ≥10 years hands-on experience with Silicon/System bring-up, validation, and debug, including in customer systems. 
• Thorough knowledge of high-speed protocols like PCIe, CXL, NVMe, or Ethernet. 
• Deep understanding of High-Speed Signaling Principles and x86/ARM architecture, UEFI/Linux boot sequence. 

The base salary range is $200,000 CAD - $250,000 CAD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.  

About the role:

Samsara is the industry leader in AI for physical operations.

We’re hiring a Staff / Senior Staff Machine Learning Infrastructure Engineer to lead the design and evolution of our end-to-end ML platform powering Safety AI and adjacent product areas. This role combines deep platform ownership with direct product impact—enabling teams to build, deploy, and scale ML systems that improve real-world safety outcomes.

This is a remote position open to candidates based in Canada.

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

In this role, you will: 

ML Platform & Infrastructure

• Design, build, and operate Samsara’s end-to-end ML platform (training, experimentation, batch/online inference, edge) used by multiple Safety AI product teams.
• Evolve shared training and experimentation infrastructure (orchestration, clusters, environments) and standardize tracking, evaluation, and regression testing for fast, safe iteration.

Experimentation & Measurement

• Partner with product and applied ML teams to ship ML-powered features (CV models, EcoDriving insights, LLM-based reporting) that improve safety, reliability, and cost efficiency.
• Lead throughput and cost modeling for new ML features—from exploration to production-scale capacity planning—to inform roadmap and go/no-go decisions.
• Drive experiment design and evaluation, defining success metrics, structuring A/B or offline tests, and turning results into product and technical decisions.

Inference & Edge Deployment

• Design and operate scalable online and batch inference systems (Ray, Spark), including deployment patterns, observability, SLOs, and unified training-to-production workflows.
• Partner with firmware and edge teams to package, validate, and deploy models to Samsara devices, and build feedback loops from edge to cloud for continuous improvement.

Reliability, Security & Operations

• Own reliability, observability, and security for ML systems across cloud and edge, including on-call practices, incident response, and infrastructure hardening.
• Own or co-own end-to-end technical delivery for high-priority or high-risk initiatives, from modeling and system design through production rollout.

Leadership & Culture

• Provide Staff+/Senior-Staff technical leadership on ML infrastructure architecture and strategy, influencing cross-team decisions and mentoring engineers and applied scientists.
• Drive strong developer experience through documentation, office hours, and best practices, while contributing to and representing Samsara in open source communities (Ray, Spark, RayDP).
• Champion and role model Samsara’s cultural principles: Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team.

Minimum requirements for the role:

• 10+ years of overall experience in machine learning engineering or related fields, with a strong track record of building and operating large-scale ML systems.
• Strong experience with distributed computing frameworks such as Ray and/or Spark.
• Hands-on experience with cloud infrastructure (AWS), containers/Kubernetes, and production observability tooling.
• Proven experience building or supporting ML platforms (training, experimentation, or inference) used by multiple teams.
• Solid understanding of ML fundamentals including evaluation, experiment design, and model iteration in production environments.

An ideal candidate also has:

• Experience shipping ML-powered features end-to-end, from design through production and iteration, with measurable impact on product or business metrics.
• Background in computer vision and/or LLM-based systems in production environments.
• Experience with edge or on-device ML and collaboration with firmware or embedded teams.
• Familiarity with model lifecycle systems (model registry, deployment, monitoring, rollback, drift detection).
• Experience working in environments with strong security and compliance requirements.
• Demonstrated ability to lead across teams and influence technical direction at Staff+ scope.
• A strong sense of ownership and a desire for end-to-end autonomy—from platform design to real-world impact.

About the role:

The Samsara AI team builds end-to-end AI solutions for our customers as well as core ML infrastructure for Samsara. As a Staff Machine Learning Engineer, you will be working with petabyte-scale sensor, diagnostic, video, and text data to solve critical problems for Physical Operations customers, globally. You will work closely with ML Engineers and Scientists, as well as full-stack and firmware engineers to deliver core product features, services, and optimizations.

This is a remote position open to candidates residing in Canada. This position requires travel up to 5% of the time. Relocation assistance will not be provided for this role.

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

In this role, you will: 

• Lead design and implementation of critical AI product initiatives on Edge devices.
• Develop both tactical AI solutions as well as more strategic and longer term research.
• Work with petabyte-scale data from customer operations including text, transactions, diagnostics, sensor, camera, and location data.
• Partner across business units to explore and prototype new AI experiences and optimize the ML model performance on edge devices.
• Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Minimum requirements for the role:

• 8+ years experience as a Machine Learning Engineer.
• Profound experience in optimizing ML models and systems for Edge compute constraints.
• Proficient with Spark, Ray, or a similar framework.
• Coding in python or similar.
• Coding in C++ or Rust.
• Strong functional knowledge of the iterative machine learning product development process.
• Experienced in developing and shipping production code at large scale.
• Ability to distill informal or ambiguous customer and business requirements into crisp problem definitions.
• Proven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge.
• Experience coaching and mentoring ML Engineers.

An ideal candidate also has:

• Proficiency in self-serving with data for experiments and model training at scale.
• An established record of successful high impact deliveries in AI.
• Deep knowledge in state of the art Computer Vision and multi-model models.

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• Join the "Innovation Machine": STCE (Smart Trailers and Connected Equipment) is the entrepreneurial engine of Samsara. We are currently in a "Renaissance" phase—operating with the grit and autonomy of a 0-to-1 startup while leveraging the power of a global leader with 25+ trillion annual data points.
• 0-to-1 Innovation: We are the "innovation machine" within Samsara. We operate like a startup, scaling products from "nights and weekends" prototypes (like the Asset Tag) to flagship revenue drivers.
• Full-Stack Leverage: You’ll work in a fully vertically integrated BU. You’ll have the magic of making trade-offs across every layer—from battery chemistry and firmware protocols.
• The "Startup Mode" Paycheck: You get the independence of a founder with the ability to test features on a massive, real-time network that is on 99% of US roads every single day.
• You want to build for scale: With millions of IoT devices deployed, you will drive scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number: You will have a rare closeness to the end user. You will participate in customer interviews, spend time in the field, and use metrics to ensure our work translates into better outcomes.
• You are a team player: Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

In this role, you will: 

• Lead "Big Rock" projects: moving between Smart Trailers and Connected Equipment teams based on the most pressing business needs.
• Drive "Step Functions": As a Senior Staff Engineer, you aren't just shipping features; you are driving major leaps in architecture and product capability that make the team better around you.
• Think like a Product Manager: We don't do heavy PRDs. You are expected to be in the field with customers, understanding their pain points and "willing" solutions into existence.
• Ship at the "Speed of Thought" with AI: We are refactoring our engineering culture to be AI-first. You will lead the charge in using LLMs and AI to automate the "boring stuff" and focus on high-level problem solving.
• Optimize across the Stack: You'll collaborate with firmware and hardware teams to solve cross-cutting problems, like balancing real-time visibility against energy consumption.
• Lead without Ego: You will mentor engineers in a high-ownership environment where the best idea wins, regardless of title.
• Advocate for Technical Health: Partner with Engineering Management to balance long-term technical health with iterative customer wins.
• Be a Cultural Force Multiplier: Champion Samsara’s principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset) as we scale globally.

Minimum requirements for the role:

• Bachelor's Degree in Computer Science/Engineering or equivalent practical experience.
• 12+ years of experience in software design and development, with at least 4 years in an architect or leadership role.
• Technical Independence: You don’t wait to be told what to do; you have the backbone and conviction to define what should be done and push through hurdles to complete it.
• Modern Engineering Workflow: Expert in writing high-quality, maintainable code in a modern language, with a demonstrated ability to use AI tools (Cursor, LLMs, etc.) to multiply your output.
• Cloud Scale Expertise: Proven experience working with web services at massive scale deployed on Cloud providers such as AWS or Azure.
• Communication: Excellent collaboration and problem-solving skills, with a demonstrated ability to manage complex technical discussions with stakeholders across Legal, Hardware, and Product.
• A "Founder-Engineer" mindset: You’ve built and shipped a 0-1 product from scratch and successfully navigated the "morass" of scaling it into a mature business driver.
• Applied AI Power-User: You have fully transitioned to an AI-native workflow to "code at the speed of thought.

An ideal candidate also has:

• Has 15+ years of relevant industry experience in software development.
• Strategic Influence: Experience influencing a company’s product and infrastructure strategy at the corporate level.
• Systems Mentorship: You enjoy leading engineers to think about systems—their life cycles, edge cases, and failure modes—from the edge to the cloud.
  
  

About the role:

We are looking for a Senior Machine Learning Engineer to lead the architectural evolution of our safety systems. You will move our ML stack from siloed, end-to-end models toward a unified Perception Platform Layer. Your mission is to build the robust infrastructure that translates raw sensor data into real-time, high-stakes decisions, ensuring our models perform reliably across both cloud and edge environments.

This is a remote position for candidates based in the US.

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

In this role, you will work on the following: 

1. Platform Architecture & Unification

• Architect a Unified Perception Layer: Lead the transition from fragmented, task-specific models to a modular perception platform that supports reusable components and downstream safety applications.
• System Design: Design and implement real-time ML systems—from sensor ingestion and tracking to risk reasoning and actuation—ensuring clear interfaces and predictable system behavior.
• Hybrid Deployment: Orchestrate model integration across edge and cloud environments, managing versioning, rollouts, and mission-critical fallback mechanisms.

2. Performance & Reliability Engineering

• Latency Ownership: Own end-to-end latency and reliability for safety-critical pipelines. You will profile, schedule, and optimize messaging and backpressure across the entire stack.
• Observability & Feedback Loops: Build sophisticated monitoring for deployed models to detect drift, false positives/negatives, and latency regressions. You will "close the loop" to ensure production data informs the next iteration of training.

3. Rigorous Evaluation & Safety

• Safety Cases: Develop evaluation frameworks specifically for rare "long-tail" safety events. You will define metrics and build targeted test sets that form the basis for principled ship/no-ship decisions.
• Explainability: Partner with Applied Scientists to ensure research outputs are translated into production code that is not only performant but also debuggable and explainable.

4. Technical Leadership

• Strategic Influence: Shape the system abstractions early in the platform transition to minimize technical debt and maximize future scalability.
• Mentorship: Set the engineering standard for correctness and performance. You will mentor junior and mid-level engineers, fostering a culture of rigorous ML engineering.

Minimum requirements for the role:

• Experience: 6+ years of experience in ML Engineering, with a proven track record of shipping models in production (ideally in safety-critical domains like robotics, automotive, or industrial AI).
• Systems Mastery: Deep understanding of distributed systems, performance profiling, and computer vision.
• Infrastructure Fluency: Experience with Cloud ML workflows (AWS/GCP/Azure) and containerization, paired with an understanding of the constraints of edge hardware.
• Architectural Mindset: You don't just write code; you design systems. You understand the trade-offs between model complexity and operational reliability.

An ideal candidate also has:

• Ph.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)
• Experience with containerization technologies (e.g., Docker, Kubernetes), continuous integration/continuous deployment (CI/CD) pipelines, and infrastructure-as-code (IaC) frameworks
• Familiar with deploying and managing ML applications in cloud environments, as well as leveraging cloud-based services for data storage, processing, and inference
• Experience building end-to-end ML applications from scratch

About the role:

The Safety AI team builds end-to-end computer vision and machine learning for Samsara’s AI dash cameras – delivering real-time driver safety insights and in-cab alerts. As a Sr. Manager of Machine Learning, you will lead teams that fuse on-device computer vision with IMU, GPS, and vehicle diagnostic data to detect, interpret, and surface actionable safety events and continuous risk signals. You’ll own the model lifecycle across edge and cloud – data curation, training, evaluation (including shadow/online experiments), deployment, monitoring, and iteration—and develop the core AI platform that powers these capabilities at fleet scale. You’ll partner closely with firmware, full-stack, and Platform teams to ship reliable, low-latency features, grounding detections in the “rules of the road” (e.g., stop signs and speed limits) to maximize precision and customer impact.

This is a remote position open to candidates residing in Canada. This position requires travel up to 5% of the time. Relocation assistance will not be provided for this role.

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

In this role, you will: 

• Lead teams of scientists and engineers working on CV, sensor fusion, and ML.
• Help architect, build, and improve solutions for hybrid cloud-edge ML.
• Actively contribute to building the roadmap for AI products at Samsara.
• Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.
• Hire, develop and lead an inclusive, engaged, and high performing team.

Minimum requirements for the role:

• BS or MS in Computer Science or other technical degree.
• 7+ years relevant technical experience with AI systems.
• 6+ years relevant software engineering work experience.
• 5+ years of experience leading large software and science teams including senior ICs.
• Experience building and deploying large-scale machine learning systems with feedback loops for continuous improvement.
• Comfortable leading full-stack / backend development in addition to science and research.

An ideal candidate also has:

• MS or PhD in Computer Science or other technical degree.
• Proven track record for innovation and delivering value to customers using AI.
• Customer orientation and intensive focus on improving the customer experience.
• Experience building, deploying, and optimizing AI systems than span edge devices and the cloud.
• Experience building products and solutions that rely on CV or sensor fusion.

About the role:

The mobile connectivity platform team owns the BLE implementation on all Samsara products. We are looking for a Senior Software Engineer to join our team to build and own the platform on our mobile products: Samsara Driver and Samsara Fleet.

These products support our customers across their entire organization and power their most critical tasks, helping frontline workers and administrators be more efficient when they’re on the go. Over the next few years, we’ll be rapidly adding new unique experiences and products to our portfolio, which means that our mobile products will become even more critical and need to expand to support millions of users. You will be responsible for the end-to-end success of new products and features that delight our customers and further Samsara’s vision.

We use React Native, Typescript, Redux, and GraphQL for our mobile apps, Golang for our backend, and C and Golang for our firmware.

This is a remote position open to candidates residing in Canada. Relocation assistance will not be provided for this role.

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. 

In this role, you will: 

• Help shape the future of our mobile apps by architecting and implementing a connectivity platform for Android and iOS that unlocks product features and delights our customers.
• Work closely with the rest of the mobile team to improve our application architecture and development processes.
• Partner with firmware and backend engineers on the design of the overall connectivity architecture to ensure seamless integration with our hardware products.
• Collaborate with full-stack engineers to guide them through mobile-specific concerns as they plan and build customer-facing features.
• Ensure a top-quality developer experience by improving the reliability and usability of our continuous integration, metrics collection, and mobile build systems.
• Leverage your experience to mentor junior developers and level up the team.
• Produce high-quality, maintainable code, test, collaboratively review, and ship it.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role:

• 7+ years of relevant industry experience in mobile development for Android and/or iOS.
• Has built and shipped high-quality production mobile applications using either native or React Native frameworks.
• 3+ years of professional experience building BLE-enabled mobile applications to interface with hardware products.
• Experience building and using observability tools, frameworks, and standards.
• Strong leadership skills driving projects and working cross-functionally.
• Strong ability to collaborate with cross-functional teams and drive independent work.
• Passion for exploring and experimenting with new technologies that improve our products for customers.

An ideal candidate also has:

• Experience leading projects from concept to launch.
• Ownership mentality.
• Comfort with ambiguity and the ability to work autonomously to figure things out.

At Samsara, we welcome all. All sizes, colors, cultures, sexes, beliefs, religions, ages, people. We depend on the unique approaches of our team members to help us solve complex problems. We are committed to increasing diversity across our team and ensuring that Samsara is a place where people from all backgrounds can make an impact.

About the role:

Samsara is looking for a Staff Mobile Engineer to join our Mobile Platform team. This team builds the foundational frameworks and architectures that enable over 20 engineering teams to efficiently develop our Driver and Fleet applications, which serve millions of daily users. You will be instrumental in building the scalable mobile platform infrastructure that supports our high-availability applications, directly influencing the development velocity and technical capabilities of our entire mobile engineering organization.

This is a remote position open to candidates residing in the US and Canada

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we're all racing toward our connected operations vision, and we intend to win—together.

In this role, you will: 

• Design and build scalable mobile platform infrastructure supporting high-availability applications.
• Create foundational frameworks that enable efficient development across 20-25 engineering teams.
• Optimize performance for diverse device types, including low-end Android devices.
• Architect solutions for large-scale consumer mobile applications serving various industries.
• Lead technical initiatives to reduce complexity and improve developer productivity.
• Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role:

• Typically requires a minimum of 8 years of mobile development related experience.
• Extensive experience with large-scale consumer mobile applications.
• Proven track record building platform-level mobile infrastructure and frameworks serving millions of customers daily.
• Strong expertise in mobile performance optimization and scalability.
• Experience supporting multiple engineering teams through platform solutions.
• Deep understanding of mobile architecture patterns and best practices.

An ideal candidate also has:

• React Native experience (our apps are primarily React Native-based).
• Experience with cross-platform mobile development.
• A blend of experience from both fast-paced startup/entrepreneurial environments and large-scale big tech companies..
• A track record of technical leadership in fast-growing companies.

Who you are:

Geotab is seeking a Senior Product Manager, GO App (Embedded Core) who will own the product strategy and roadmap for Geotab’s core embedded hardware and firmware platform — the GO device. This role is responsible for driving the evolution of the GO device product line, including next-generation hardware development, firmware feature planning, connectivity technologies (cellular, satellite, BLE), sensor integration, and power management optimization. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a Senior Product Manager, GO App (Embedded Core) your key area of responsibility will be to truly understand the infrastructure needed to support the growth of existing and new revenue streams within Geotab, the associated market, and how customers can benefit from telematics solutions to improve their business. You will lead complex problem and solution validation, ensuring strategic alignment and providing direction on critical solutions. You will need to work closely with hardware engineering, embedded software, technical project managers, and cloud teams to define what the GO device becomes next.To be successful in this role you will be a self-starter and resourceful team player with strong written and verbal communication skills, and have the ability to engage with all levels of the organization. In addition, the successful candidate will have strong analytical and problem-solving skills with a strategic mindset and a keen sense of priorities, along with an ability to pivot as the landscape changes.

How you'll make an impact:

• Own the development of a comprehensive product roadmap, ensuring alignment across internal stakeholders while driving the execution of strategic initiatives that support long-term business objectives.

• Lead high-impact customer discovery initiatives and mentor other team members in conducting interviews to refine value propositions and product fit.

• Drive prioritization at a portfolio level, aligning efforts with overall business and product strategy.

• Establish advanced reporting and monitoring frameworks that measure success (both qualitative and quantitative) across multiple product dimensions.

• Design and implement feedback loops at scale, ensuring continuous alignment with market needs.

• Ensure company-wide understanding of product efforts, regularly communicating the Why at senior leadership forums and cross-departmental meetings.

• Lead complex problem and solution validation, ensuring strategic alignment and providing direction on critical solutions.

• Oversee the translation of needs into detailed epics and initiatives, ensuring alignment with overall product strategy.

• Lead efforts to enhance product management frameworks, mentoring other product managers and contributing to company-wide initiatives.

What you'll bring to the role:

Why job seekers choose Geotab:

The Role and Its Impact 

Our analog connectivity product portfolio includes sophisticated mixed-signal components that form the critical signal conditioning path in both optical modules and copper interconnects: transimpedance amplifiers, transmit drivers, continuous-time linear equalizers, and integrated analog subsystems. The firmware you develop will directly control the adaptive behavior, calibration sequences, and real-time performance optimization of these analog circuits deployed in data centers worldwide.  

As a Principal Engineer in our Signal Connectivity Engineering group, you'll shape firmware architectures that directly impact the performance and reliability of connectivity solutions powering AI infrastructure globally. You'll take end-to-end ownership of the software lifecycle, from pre-silicon planning through production deployment and field support. You will bridge the gap between sophisticated analog circuit design and the software intelligence required to make these circuits adaptive and robust. Working at the intersection of embedded systems and analog control, you'll collaborate closely with mixed-signal designers, systems architects, silicon validation engineers, and customer teams while building and leading a technical team in a high-growth company. 

We're a startup, and this role reflects that reality. You'll have responsibilities spanning firmware architecture, team building, CI/CD infrastructure, customer engagement, and lab automation. We're looking for someone who thrives wearing multiple hats and is energized by jumping into whatever needs doing. We recognize this breadth and reward it accordingly. 

This position offers an opportunity to build and lead a team from the ground up. You'll help hire two engineers and will play an active role in recruiting as the team grows. Depending on your preferences, you can either manage these engineers directly from day one, or mentor them while remaining in a technical lead capacity, either path is fully supported. 

Level is negotiable based on experience and qualifications. 

Location & Travel 

This is a remote position, but candidates must be located and authorized to work in the Ottawa area. Occasional travel to our San Jose headquarters will be required, approximately twice per year for chip bring-ups and project coordination. 

Core Responsibilities 

Software Ownership & Architecture 

• Own the complete firmware stack for analog connectivity products, from low-level hardware abstraction through customer-facing APIs 
• Design and implement embedded firmware that controls complex analog subsystems including adaptive equalization, gain control, PLL/CDR feedback loops, and thermal management 
• Architect calibration algorithms, state machines, and control flow for managing analog tuning parameters across process, voltage, and temperature variation 
• Establish software quality gates and validation criteria at each development phase 

Technical Leadership & Team Building 

• Help recruit and hire two engineers to join your team, with ongoing involvement in recruiting as the team expands 
• Lead your team, whether through direct management or technical mentorship, through design, implementation, code review, and debugging activities 
• Lead architecture discussions and technical tradeoff decisions; balance performance, code size, maintainability, and time-to-market 
• Serve as the go-to technical expert for mixed-signal firmware and analog control loop behavior 
• Drive difficult debug sessions in the lab and through remote customer support, coordinating across silicon design, systems, and applications teams 

Cross-Functional Collaboration 

• Partner with analog circuit designers to understand hardware behavior, tuning requirements, and failure modes 
• Collaborate with product applications to translate customer requirements into firmware features and APIs 
• Work alongside silicon and system validation teams to develop test plans, automate characterization flows, and verify firmware behavior across corner cases 
• Coordinate with field applications engineers to support customer integration and resolve deployment issues 
• Provide regular project updates on progress, risks, dependencies, and technical challenges 

What You Bring 

Required Qualifications: 

• BS/MS in Computer Science, Electrical Engineering, Computer Engineering, or related field 
• 10+ years of embedded C/C++ firmware development in resource-constrained environments 
• Proven track record as a Technical Lead or Team Lead on embedded projects from architecture through production 
• Deep understanding of microcontroller architecture, memory-mapped peripherals, interrupt handling, and bare-metal firmware design 
• Solid experience with analog control loops: PID controllers, feedback systems, adaptive algorithms, and tuning methodologies 
• Strong proficiency with Linux development tools: gcc/clang, make, bash scripting, gdb, and git 
• Excellent verbal and written communication skills; ability to explain complex technical concepts clearly 
• Demonstrated problem-solving ability and systematic debugging approach on real hardware 
• Comfort with ambiguity and a willingness to take on whatever challenges arise in a fast-moving startup environment 

Highly Valued Skills: 

• Experience with Python for test automation, data analysis, or general scripting 
• Hands-on experience building and maintaining Jenkins CI/CD pipelines and automated test infrastructure 
• Familiarity with mixed-signal systems: ADC/DAC interfaces, sensor readout, analog signal conditioning, calibration techniques 
• Knowledge of transimpedance amplifiers, transmit drivers, equalizers (CTLE/DFE), CDR/PLL circuits, or related analog signal path components 
• Background in optical module firmware, pluggable optics/AEC standards (MSA/CMIS), retimer or gearbox firmware/API, or high-speed copper connectivity 
• Experience with lab equipment: oscilloscopes, power supplies, logic analyzers, Viavi/Lecroy/Exfo/Keysight/Tektronix/etc. 
• Exposure to SERDES, Ethernet PHYs, layer 1 devices, or PCIe physical layer implementations 
• Understanding of signal integrity concepts: equalization, channel loss, jitter, eye diagrams, and link margin 
• Familiarity with FPGA emulation, pre-silicon validation, or hardware simulation environments 
• Experience with RTOS, device drivers, coroutines 
• Prior people management, mentorship, or recruiting experience 

Compensation 

Salary range is CAD $184,500 to $205,000 depending on experience, level, and business need. This role will include a discretionary bonus, extremely competitive equity package, comprehensive health/dental/vision coverage, professional development opportunities, and a culture that values technical excellence, collaboration, and innovation. 

Role Overview 

Astera Labs is seeking System Validation Engineers across multiple levels to lead post‑silicon bring‑up and system validation for high‑performance PCIe and CXL memory expansion products used in AI and cloud data centers. You will design and execute validation plans, automate data‑centric test flows, drive root‑cause investigations across silicon, firmware, hardware, and systems, and work directly with customers to validate real world performance and interoperability. 

This role is based in our Vancouver office, which is a strategic growth hub for Astera Labs' validation team. You'll have the opportunity to be a foundational member of this expanding site while collaborating closely with our core team in San Jose. This is a unique chance to help shape the team's culture, processes, and technical direction as we scale our validation capabilities to meet surging demand for AI infrastructure connectivity. 

What Success Looks Like: 

• New silicon and platforms brought up on schedule with reproducible validation results 
• Automated test suites that reduce manual effort and provide clear pass/fail and performance metrics 
• Rapid, data-backed root-cause resolution of system issues and strong customer satisfaction during integration 

Key Responsibilities 

• Validation Planning & Strategy 
• Create comprehensive validation plans for AI fabric switch products covering functionality, performance, reliability, and interoperability 
• Contribute to compliance testing strategies and adapt consortium test cases for execution from x86 and ARM platforms 
• Produce clear, data-driven validation reports and status updates for internal stakeholders and customers 
• Silicon & System Bring-Up 
• Lead silicon and platform bring-up activities, verify boot and runtime behavior on x86 and ARM systems 
• Ensure timely readiness for customer engagements and product launches 
• Debug complex issues across PCIe, CXL, NVMe, Ethernet, firmware, and hardware layers using protocol analyzers, logic analyzers, and CPU-based tool suites 
• Test Automation & Infrastructure 
• Develop robust, repeatable automation for IC and board testing with emphasis on execution efficiency, data collection, analysis, and automated reporting 
• Design experiments to root-cause unexpected behavior and report results and specification compliance in an automated fashion 
• Customer & Cross-Functional Collaboration 
• Collaborate directly with customers to capture system requirements, reproduce customer scenarios, and demonstrate product capabilities 
• Drive cross-functional root-cause analysis with silicon, firmware, hardware, and system teams and document findings and corrective actions 

Basic Qualifications 

• Bachelor's degree in Electrical Engineering, Computer Engineering, or related field 
• 2-12+ years of experience supporting or developing complex SoC or silicon products for server, storage, or networking domains (level dependent) 
• Working understanding of x86 and ARM architectures and UEFI/Linux boot sequences 
• Solid grasp of high-speed signaling principles 
• Hands-on experience with high-speed protocols such as PCIe, CXL, NVMe, or Ethernet 
• Proven experience in silicon and system bring-up, validation, and debug in lab and customer environments 
• Strong Python automation skills for bench control, test orchestration, data analysis, and reporting 
• Experience with lab equipment including protocol analyzers, logic analyzers, in-circuit debuggers, and CPU-based tool suites 
• Strong prioritization, planning, and independent execution skills with a customer-focused mindset 

Preferred Qualifications 

• Master's degree in Electrical Engineering, Computer Engineering, or related field 
• Working knowledge of C or C++ for embedded firmware and device drivers 
• Familiarity with PCIe compliance standards and experience adapting consortium tests for platform execution 
• Advanced understanding of memory architectures, high-speed signaling, and system boot flows 
• Track record of influencing cross-functional teams and navigating complex matrixed organizations 
• Entrepreneurial, can-do attitude with ability to think and act with the customer in mind 

The base salary range for this role is $125,000 - $290,000 CAD depending on experience, level, and business need. This role may be eligible for discretionary bonus, incentives and benefits. 

At Astera Labs, we design cutting-edge connectivity solutions that power the world’s largest cloud service providers, server, and networking OEMs. As a Platform Engineer, you’ll play a pivotal role in building and supporting the platforms that enable these products to thrive in real-world deployments through. 

You’ll create and maintain tools that make our products seamless to integrate, highly debuggable, and delightful to use for both customers and internal engineering teams. Your work will span software, systems, and silicon – developing automation, diving into labs with state-of-the-art equipment, and collaborating closely with customers to solve the toughest technical challenges. Beyond execution, you’ll influence product direction by driving innovation, providing feedback to design teams, and streamlining validation and deployment processes. 

This is a high-impact, hands-on role at the intersection of hardware and software, where curiosity, creativity, and technical depth come together to define the next generation of data center infrastructure. 

Basic Qualifications 

• Bachelor’s degree or higher in Electrical Engineering, Computer Engineering, or Computer Science. 
• 5+ years of experience in software development with C, C++, C#, and/or Python. 
• Entrepreneurial mindset with a customer-first attitude and a bias toward action. 

Required Experience 

• Building and maintaining complex applications using .NET technologies (e.g., WPF, Avalonia, Blazor, MAUI). 
• Strong background in C and Python programming for tool development, automation, and system interaction. 
• Hands-on silicon/system bring-up and debug experience in customer environments. 
• Proficiency with lab equipment such as traffic generators, analyzers, and high-speed oscilloscopes. 
• Excellent technical writing skills for clear, concise documentation (datasheets, app notes, internal guides). 

Preferred Experience 

• Front-end technologies (React, Angular, Node.js). 
• Cloud development platforms (Azure, AWS). 
• Experience with high-speed I/O products (PCIe, Ethernet Switches). 
• Familiarity with data center architectures: servers, storage (JBOD/JBOG), and networking gear. 

What You’ll Gain 

• Impact: Influence the design and usability of products deployed at hyperscale. 
• Breadth: Work across hardware, firmware, and software layers. 
• Growth: Collaborate with world-class engineers and customers solving real-world challenges at scale. 
• Innovation: Freedom to prototype, improve, and bring new ideas into production. 

The base pay range for this role is between $140,000 and $175,000. Your actual base pay will depend on variables that may include your background, qualifications, and experience. 

Role Summary

Finite State is seeking an experienced IoT / ICS / OT and Penetration Tester to join our growing Services team. In this role you will conduct hands-on security assessments of connected devices, embedded systems, industrial control systems, and automotive platforms on behalf of our customers. You will combine deep hardware and firmware expertise with a consultative mindset to deliver clear, actionable findings that help manufacturers and operators understand and reduce risk. 

Responsibilities

• Plan and execute penetration tests and security assessments against IoT, ICS/OT, and automotive targets, including connected consumer devices, industrial controllers, and automotive ECUs and telematics units.
• Perform hardware interaction and firmware extraction using techniques such as JTAG, SWD, UART, SPI, I2C, eMMC, and NAND flash dumping; solder and rework PCBs as needed to gain access to debug interfaces.
• Conduct firmware reverse engineering using tools such as Ghidra and Binary Ninja to identify vulnerabilities including memory corruption, authentication bypasses, hard-coded credentials, and insecure update mechanisms.
• Assess wireless protocols common in IoT and automotive environments, including Bluetooth / BLE, Zigbee, Z-Wave, Wi-Fi, Cellular (LTE/5G), CAN bus, LIN, and automotive Ethernet.
• Perform source code review, primarily in C, C++, and related embedded languages, to identify security weaknesses in firmware and embedded software.
• Conduct supply chain and software composition analysis, including SBOM review and analysis of third-party open-source components, to identify known vulnerabilities and license risks.
• Evaluate customer products and programs for compliance with relevant regulations and standards, including EN 303 645, the EU Cyber Resilience Act (CRA), EU Radio Equipment Directive (CE RED), UNECE WP.29 / ISO 21434 for automotive, and the US IoT Cyber Trust Mark.
• Produce high-quality written reports that clearly communicate technical findings, risk ratings, and remediation guidance to both technical and executive audiences.
• Leverage AI-powered security tooling and LLM-assisted workflows to accelerate analysis, triage, and reporting; maintain awareness of evolving AI capabilities relevant to embedded security research.
• Collaborate with the product, engineering, and research teams to feed pentesting findings back into the Finite State platform and improve detection capabilities.
• Support customer-facing engagements including scoping calls, technical debriefs, and remediation follow-up.
• Contribute to internal knowledge sharing, tooling development, and methodology improvement.
• Participate in industry conferences, publish research, and represent Finite State externally as opportunities arise.

Required Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field
•  5+ years of hands-on experience in IoT, embedded, ICS/OT, or automotive security.
• Demonstrated experience performing hardware-level security assessments: JTAG/SWD debugging, SPI/I2C/UART communication, flash memory extraction, and PCB soldering and rework.
• Proficiency with firmware reverse engineering tools, specifically Ghidra and/or Binary Ninja; ability to analyze ARM, MIPS, PPC, x86, and x64 architectures.
• Experience testing IoT and automotive wireless protocols, including BLE, Zigbee, Z-Wave, Wi-Fi, CAN bus, and cellular interfaces.
• Ability to read and review source code in C and C++ to identify memory safety issues, authentication flaws, and other security weaknesses in embedded software.
• Familiarity with SBOM concepts, formats (CycloneDX, SPDX), and the use of SBOMs in vulnerability management.
• Working knowledge of relevant regulations and standards, including at least a subset of: EU CRA, CE RED / EN 303 645, UNECE WP.29, ISO 21434, or the US IoT Cyber Trust Mark.
• Excellent written and verbal communication skills; proven ability to write clear, well-structured technical reports and present findings to diverse audiences.
• Experience with scripting and automation using Python and Bash to support tooling and workflow efficiency.
• Familiarity with AI-assisted security tooling and an interest in applying LLM-based workflows to accelerate security analysis and reporting.

Preferred Qualifications

• Hands-on automotive security experience: OBD-II assessment, ECU flashing and analysis, V2X protocols, or automotive HSM evaluation.
• Experience with industrial control system (ICS/SCADA) security assessments and familiarity with protocols such as Modbus, DNP3, EtherNet/IP, or OPC-UA.
• CVE or responsible disclosure history demonstrating original vulnerability research in embedded or IoT targets.
• Relevant certifications such as OSCP, GPEN, GICSP, or vendor-specific automotive security credentials.
• Familiarity with static and dynamic analysis platforms and SAST/DAST tooling in the context of firmware and embedded software.
• Experience with ML-based vulnerability detection models or AI-augmented reverse engineering pipelines.
• Experience working on small, fast-moving consulting or product security teams.
• Comfort operating in AWS or similar cloud environments used to support analysis pipelines or customer deliverables.

Why Finite State?

• Be part of building the leading platform for connected device cybersecurity
• Join a fast-moving team that values transparency, innovation and impact
• Work fully remotely with a high degree of autonomy and ownership
• Comprehensive benefits
• Investment: learning stipends to support your professional development
• Equity: share in our growth and success
• Help solve some of the most pressing cybersecurity challenges facing connected device manufacturers and the millions of people who depend on them

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Product Manager who will lead fuel resource management solutions, which are critical for reducing operational costs for our fleets. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a Product Manager, your key area of responsibility will be managing the end-to-end user experience for Optimization and Efficiency Solutions, specifically focusing on Fuel Transactions, Fill-ups, and IFTA reporting. You will need to work closely with Product Marketing, Solutions Delivery, Software and Embedded Development, and Data Science teams to solution and advocate for resources. To be successful in this role, you will be a strategic self-starter with empathy for customer pain points and the ability to grasp complex technical concepts quickly. In addition, the successful candidate will have strong analytical skills to conduct product discovery, leverage data for story building, and manage projects from start to finish within the technical product development space.

How you'll make an impact:

• Product research / discovery with customers, leverage internal folks' for product feedback and access to customers.

• Deep technical, market, policy understanding for fleet operations, especially around fuel tax, EV charging, and general energy resource optimization (reduction) strategies.

• Responsible for improving the user experience on: Fuel Transactions, Fill-ups, IFTA Reporting, and Driver Logbook Suite.

• Work with Product Marketing, Solutions Delivery, and all adjacent technical teams from start to finish.

• Advocate for resources and prioritization when needed to deliver customer and business needs.

• Leverage research and existing product architecture to solution along with Data Science, Software, Firmware, etc. 

• Maintain existing product suite and adopt customer feedback.

What you'll bring to the role:

• 3-5 years of professional experience in technical product development, stakeholder management, or enterprise sales.

• Experience in Product Management, Project Management, or Software Development is highly valued. 

• Proficiency in AI tools (Claude, Gemini, Codex) for data exploration, story building, and code development. 

• Technical proficiency in Jira, Salesforce, and Google Suite; experience with BigQuery and GitLab is an asset. 

• Familiarity with IoT, SaaS, or Telematics industries (Automotive, Trucking, OEM, or Telco) is a plus. 

• Ability to travel up to 25% of the time (approximately 6 weeks per year). 

• Bachelor’s degree in a related field or equivalent professional experience.

Why job seekers choose Geotab:

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Product Manager, Theft Solutions who will drive the strategic direction and execution of Geotab's expansion into theft awareness, detection, and recovery solutions. The projects will vary in scope, complexity, and affected business area. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a Senior Product Manager, Theft Solutions, your key area of responsibility will be identifying and scaling end-to-end products that leverage Geotab's telematics platform, real-time data insights, and predictive analytics to prevent vehicle and asset theft, enable rapid recovery, and reduce insurance costs. You will need to work closely with hardware engineering, software development, data science, commercial teams, and external partners.

To be successful in this role you will be an entrepreneurial self-starter with a tolerance for ambiguity and the ability to iterate rapidly based on customer feedback. In addition, the successful candidate will have strong analytical and project management skills with an ability to translate complex telematics insights into compelling customer value and manage multiple timelines to ensure timely results.

How you'll make an impact:

• Market Discovery & Customer Insights: Conduct comprehensive customer discovery to understand theft vulnerabilities, recovery workflows, and decision criteria across fleet segments (commercial, rental, asset tracking, logistics). Uncover latent needs and willingness to pay for prevention and recovery solutions. Research competing theft prevention and recovery platforms.
• Product Strategy & Positioning: Define the theft solutions product strategy, including feature set, pricing model and market segmentation. Position Geotab as the preferred telematics platform for theft prevention and recovery.
• Feature & Requirement Definition: Translate customer needs into detailed product requirements. Partner with data science to define theft detection algorithms (behavioral anomaly detection, location pattern analysis, risk scoring). Establish monitoring and observability to measure solution efficacy and refine models post-launch.
• Roadmap Management: Own the theft solutions product roadmap, aligning hardware, firmware, cloud, mobile, and business intelligence teams on phased delivery. Identify partnership opportunities to integrate Geotab insights into existing workflows.
• Execution & Delivery: Drive end-to-end product delivery from requirements to launch, managing dependencies, priorities, and release readiness. Track market performance post-launch, including adoption, retention, and revenue contribution, using data to accelerate iteration and close gaps between roadmap intent and customer outcomes.

What you'll bring to the role:

Why job seekers choose Geotab:

Sr. Engineering Manager (AI-Native)

United States or Canada  ·  Engineering  ·  Full-time

Overview

We are seeking an Engineering Manager to lead and grow high-performing teams while redefining how modern, AI-native engineering organizations build and ship software.

This role is for a leader who has managed teams of 5–15+ engineers and is passionate about building systems where quality is enforced, measured, and continuously improved through automation, observability, and AI-driven workflows.

You will be responsible for driving execution, scaling teams, and embedding AI-powered development and testing practices into every stage of the SDLC. Delivering consistently high-quality, production-grade software is a key requirement of this role.

What You'll Do

Team Leadership & Execution

• Lead, mentor, and grow a team (or teams) of 5–15+ engineers
• Drive delivery of software that meets strict, measurable standards for quality, reliability, and maintainability
• Establish clear expectations where quality is owned by the team and enforced through systems, not heroics
• Foster a culture of accountability, continuous improvement, and engineering excellence

Customer Impact & Product Excellence

• Ensure engineering decisions are grounded in customer outcomes and product impact
• Partner closely with Product Management to translate customer needs into scalable, high-quality systems
• Define and track metrics connecting engineering output to customer satisfaction, product adoption, and business outcomes
• Balance speed, quality, and innovation in service of real-world user value

AI-Native Quality & Testing Systems

• Define and implement AI-driven quality strategies across your teams
• Build and operationalize automated and autonomous testing systems, including AI-generated test cases (unit, integration, end-to-end), self-healing test suites, and agent-assisted validation
• Leverage LLMs and agent-based systems to continuously expand test coverage, identify edge cases, and reduce manual QA effort while increasing confidence
• Ensure quality is continuously validated in CI/CD, not deferred to later stages

Process, Tooling & Observability

• Design and enforce engineering processes where quality gates are automated and non-bypassable
• Implement AI-powered tooling across the SDLC: code generation and review assistants, automated code quality and security analysis, and intelligent CI/CD pipelines with adaptive testing
• Establish comprehensive observability including logging, metrics, tracing, alerting, and SLOs/SLIs aligned with customer expectations
• Use production data to detect issues early, predict and prevent failures, and drive continuous evidence-based improvement
• Track and improve key engineering metrics: test coverage, mutation testing scores, defect rates, production incident frequency, and service reliability

AI-Native Engineering Practices

• Define and implement AI-first development workflows across your teams
• Evaluate and integrate modern AI tooling (copilots, LLMs, agent-based systems)
• Ensure AI adoption increases both velocity and quality
• Stay current with emerging AI capabilities and translate them into practical engineering improvements

Technical Strategy & Execution

• Contribute to and execute the technical roadmap in alignment with business objectives
• Balance innovation (AI-first approaches) with long-term maintainability
• Manage technical debt strategically to ensure sustainable velocity and system health
• Guide architectural decisions that enable scale, reliability, and agility

What We're Looking For

Required Experience

• 5+ years of software engineering experience
• 3+ years of engineering management experience leading teams of 5–15+ engineers
• Proven track record of delivering high-quality, production-grade systems with measurable outcomes
• Experience defining and enforcing quality standards through automation and systems, not manual processes
• Experience partnering with Product Management to deliver customer-focused solutions

Our Tech Stack

• Languages: TypeScript, JavaScript, Python
• Frontend: Next.js, React
• Backend / Platform: Supabase (PostgreSQL, Auth, Edge Functions, Storage), Node/TypeScript services
• Data: PostgreSQL (Supabase + AWS RDS during migration), Redis
• Auth & Security: Supabase Auth, OAuth2/OIDC, GitHub, Trivy, Snyk
• Infrastructure: AWS, Docker, Kubernetes (for supporting services), modern CI/CD
• AI Tools: Cursor, Devin, GitHub Copilot, and modern agent frameworks where appropriate

AI-Native Mindset

• Hands-on experience with AI-powered developer tools and workflows (e.g., Cursor, Claude, Codex, or similar)
• Strong understanding of how to apply LLMs and agent-based systems to code generation, testing and validation, and developer productivity
• Ability to evaluate emerging AI technologies pragmatically and integrate them into real-world systems

Quality, Observability & Systems Thinking

• Deep understanding of modern testing strategies and quality engineering
• Experience building or scaling automated testing frameworks, CI/CD pipelines with enforced quality gates, and observability systems (metrics, logging, tracing, alerting)
• Experience defining and operating against SLOs/SLIs, reliability and performance targets, and data-driven engineering metrics
• Strong bias toward automation, instrumentation, and continuous validation

Leadership & Communication

• Strong coaching and mentoring skills
• Ability to drive alignment and influence across teams
• Clear communicator across technical and business contexts

Nice-to-Have (Strong Bonus)

• Software Security / Application Security
• Software Supply Chain Security (SCA, SBOMs, CI/CD security)
• Experience in cybersecurity, IoT, or embedded systems domains
• Experience in high-scale, high-reliability, or security-sensitive environments

What Success Looks Like

• Teams deliver consistently high-quality software with measurable improvements in reliability, defect rates, and customer satisfaction
• Automated and AI-driven testing systems provide broad, continuously improving coverage
• Quality issues are detected early—or prevented entirely—through intelligent, data-driven systems
• Engineering velocity increases without tradeoffs in quality, security, or stability
• Teams rely on systems, automation, and observability—not manual effort—to maintain excellence
• Engineering output is clearly tied to customer value and business impact

Staff Product Manager
Location: Remote (US)
Reports to: Chief Product Officer

Finite State partners with product security teams, the guardians of our connected world, to
create transparency for their connected devices and supply chains. Our platform handles
connected devices and embedded systems across all industries, including those found in
enterprises, healthcare, utilities, connected vehicles, manufacturing facilities, critical
infrastructure, and government entities.
We are a fast-growing series-B company with a fully distributed workforce. Led by a team of
seasoned experts, we are a mission-driven team passionate about arming our customers with
the actionable insights, critical vulnerability data, and remediation guidance necessary to
mitigate product risk and protect the connected attack surface. We are committed to a remote
first culture.
The Role
We’re building ambitious new product and service offerings at Finite State, and we’re looking for
a Staff Product Manager who can both work strategically and dig into the details when
necessary.
This is a strategic, high-visibility role for a PM who:
• Has deep domain knowledge in product security or adjacent cybersecurity areas and
understands how security practitioners think and buy
• Excels at synthesizing qualitative and quantitative data to drive good product decisions
• Is fluent in AI tools for research, content generation, and synthesis — and uses them to
multiply their output
• Is excited to help build the industry’s first agentic product security assurance team
What You’ll Do
• Own a product area end-to-end. Understand customer and market needs, define the
key outcomes and metrics for product and customer success, steer our development
teams to build the right things, and measure the results
• Be the expert on your domain. Develop deep understanding of the product security
assurance challenges that our customers are tackling
• Automate your job. Use AI automation to ensure that we always have the latest data
driving our product decisions
• Own product messaging for customers and the market. Support our go-to-market
organization with useful and relevant product information as we ship new and improved
capabilities

• Build across software and services. Our combination of software and services is key
to our success. Partner with our services team to deliver the best outcomes for
customers.
What You Bring
• 8+ years in product management with at least 3 years in B2B enterprise software in
cybersecurity or an adjacent area. You must be comfortable working with complex
technical products.
• Domain experience in security-adjacent products. You’ve worked on products where
security, compliance, or risk management is a core part of the value proposition — not
just a feature.
• Market intelligence as a core skill. You’re a strong researcher and synthesizer. You
can take a messy landscape of customer conversations, competitive moves, usage data,
and regulatory shifts and turn it into a clear, actionable picture that an engineer can read
and act on.
• AI aptitude. Our team uses AI for research, content generation, synthesis, and analysis.
You’ve built AI capabilities in your products and used AI to automate product work with
repeatable feedback loops.
• Strong communication skills. As a fully remote organization using AI to accelerate, we
rely on clear written communication and data to make decisions.
• GTM partnership mindset. You understand how product decisions connect to revenue.
Why Finite State?
• Be part of building the leading platform for connected device cybersecurity
• Join a fast-moving team that values transparency, innovation and impact
• Work fully remotely with a high degree of autonomy and ownership
• Comprehensive benefits
• Investment: learning stipends to support your professional development
• Equity: share in our growth and success
• Help solve some of the most pressing cybersecurity challenges facing connected device
manufacturers and the millions of people who depend on them

About The Role

As a Compute / Server Platform Architect on the Cluster Architecture Team, you will own the server-side platform architecture that enables Cerebras CS3-based AI clusters (training and inference) to deliver predictable performance, scalability, and reliability. Our accelerators are network-attached, so the x86 server fleet is a first-class part of the end-to-end system: it runs critical-path runtime functions (for example orchestration, prompt caching, and IO/control services) and must be co-designed with software for token-level latency, throughput, and cost efficiency. You will translate workload behavior into CPU, memory, IO, PCIe, and host-networking requirements, drive platform evaluations with vendors, and provide technical leadership through qualification and production adoption in close partnership with other function leaders and TPMs.

Responsibilities

• Own the architecture for all server roles in Cerebras clusters, including definitions of server types, configurations, and lifecycle strategy.
• Define and maintain server formulas (counts and ratios per CS-3 count, cluster size, and workload type) including capacity planning and headroom policy.
• Specify platform configurations: CPU SKU and core strategy, our vendor roadmap (e.g., AMD, Intel, ARM), memory topology (channels, DIMM type, capacity), PCIe topology and lane budgeting, NIC selection/placement, and local NVMe policy where applicable.
• Translate software and runtime flows into measurable hardware requirements (CPU utilization, memory bandwidth/latency, bursty IO patterns, queueing and concurrency limits) and communicate clear guardrails back to software teams.
• Develop performance and scaling models; validate with microbenchmarks and workload-level experiments; identify bottlenecks and drive cross-stack fixes.
• Define the OS, BIOS, firmware, and driver baseline for each server type; there are other teams that follow these recommendations and apply them on our fleet.
• Stay current on emerging server technologies (CPU generations, new memory technologies, CXL, NVMe evolutions, SmartNIC/DPU capabilities where relevant) and run proof-of-concept evaluations to determine when to adopt.
• Lead technical vendor engagements (OEM/ODM and component vendors): influence roadmap, request platform knobs, and drive joint debugging on performance or reliability issues.
• Define qualification and acceptance criteria (performance, stability, operability) and partner with the Infrastructure Hardware TPM to execute qualification plans and land changes cleanly into production.
• Support bring-up and rare deployment debugging in lab and staging environments; drive root-cause analysis for regressions spanning firmware, drivers, OS, and runtime behavior.

Skills and Qualifications

• PhD. in Computer Science or Electrical/Computer Engineering and + 8 years industry experience, or Master’s/Bachelor’s in CS or EE + 10 years industry experience.
• 5+ years of experience in server platform architecture, systems performance engineering, or large-scale infrastructure design for AI/ML, HPC, or performance-sensitive distributed systems.
• Deep understanding of x86 server architecture: CPU microarchitecture basics, cache hierarchies, NUMA, memory controllers/channels, and memory bandwidth vs latency tradeoffs.
• Strong Linux systems knowledge: profiling and performance analysis, scheduling and syscall overheads, memory management behavior, and practical tuning methodology.
• Experience reasoning about high-performance IO paths, including NIC behavior at a systems level, RDMA/RoCE concepts, and NVMe performance characteristics.
• Proven ability to create capacity and performance models and validate them empirically with a rigorous benchmarking plan.
• Experience working directly with vendors/partners to evaluate platforms, drive issue resolution, and influence roadmaps.
• Strong cross-functional communication skills and ability to drive technical decisions through clear tradeoff documents and reviews.
• Familiarity with application and system software (C, C++, Python).

As an Infrastructure Hardware Technical Program Manager (Server and Network Systems) on the Cluster Architecture Team, you will drive end-to-end delivery of server and network platform programs across Cerebras CS-3–based AI clusters — from requirements and vendor selection through lab bring-up, qualification, and production rollout. You will be the execution owner for multi-team programs spanning OEM/ODM partners, component vendors, internal software/runtime teams and architects, validation/QA, and deployment/operations.

This role is intentionally technical: you must understand server, network, and system-level trade-offs well enough to run effective technical reviews, keep programs grounded in real constraints, and maintain a crisp decision trail - while partnering closely with the Compute / Server / Network Platform Architects for detailed technical direction and sign-off. You will also build shared understanding with our rack/elevations and physical datacenter design partners so that server and network changes land smoothly in real deployments (without owning physical DC design).

Responsibilities

• Own end-to-end program execution for server systems and network equipment in Cerebras clusters, including new platforms, refreshes, and major component/config changes.
• Drive requirements gathering and convert inputs into executable plans with clear milestones, readiness gates, and cross-functional deliverables.
• Represent Cluster Architecture in executive reviews, OKR cycles, and leadership/customer forums as needed.
• Build and manage integrated schedules across vendors and internal teams, track dependencies, critical path, and risks.
• Manage OEM/ODM and switch/vendor engagements (RFI/RFP, samples, escalations, roadmap alignment).
• Partner with Compute / Server Platform / Network Architects to turn architectural decisions into qualification plans, acceptance criteria, and rollout strategies.
• Lead qualification and release readiness (lab/staging validation, regression tracking, go/no-go decisions).
• Own risk and change management into production, including versioning, rollout sequencing, and stakeholder communication.
• Ensure operational readiness with deployment and fleet teams and maintain alignment with rack/physical DC owners on power, cooling, space, and cabling constraints.

Skills and Qualifications

• B.S. or M.S. in Computer Science, Electrical/Computer Engineering, or equivalent experience.
• 8+ years in Technical Program Management (or similar delivery leadership) for server, network, or infrastructure platforms from concept through production.
• Experience coordinating complex server and/or datacenter network programs across OEM/ODMs, switch vendors, and internal engineering teams.
• Working knowledge of server architecture (CPU/NUMA, memory bandwidth, PCIe, NIC and storage IO) and enough networking fundamentals (leaf-spine fabrics, switch platforms, high-performance interconnects) to run effective technical reviews.
• Familiarity with Linux server fleet management (provisioning, firmware/BIOS, drivers, field triage).
• Strong multi-team program execution skills: integrated plans, risk management, dependency tracking, and executive-level communication.
• Ability to operate in ambiguity and keep parallel server and network workstreams aligned.
• Experience with AI/ML, HPC, or performance-sensitive distributed infrastructure is a plus.

Responsibilities:

• Lead the design and implementation of system-level debugging, validation, and observability platforms.
• Develop automated systems for collecting and analyzing numerical, and execution anomalies.
• Create visualization and analysis tools to enable efficient root-cause investigation.
• Build frameworks for failure classification, regression detection, and anomaly monitoring.
• Extend compilers, runtimes, and programming interfaces to support advanced profiling and instrumentation.
• Improve system bring-up, low-level debug, and validation workflows.
• Partner cross-functionally with compiler, hardware, firmware, runtime, and infrastructure teams.
• Establish best practices for debuggability, reliability, and operational excellence.
• Lead high-impact initiatives.
• Support incident response and drive long-term corrective actions.

Qualifications: 

• Strong proficiency in C++ and Python, with a track record of building reliable, high-performance systems and tooling.
• Demonstrated experience debugging complex hardware/software systems and driving issues to root cause.
• Experience analyzing system-level data structures, execution graphs, or dependency networks for diagnostics and validation.
• Proven ability to design and build intuitive visualization and analysis tools for complex technical data.

• Experience with compiler internals, custom hardware interfaces, or low-level protocol design.

• Strong written and verbal communication skills, with the ability to explain technical concepts to diverse stakeholders.
• Ability to work independently and lead complex technical projects end-to-end.

Preferred Skills & Qualifications

• Familiarity with machine learning training and inference pipelines, especially distributed training and large-model scaling.
• Prior work on high-performance clusters, HPC systems, or custom hardware/software co-design.

Full-Stack Engineer, AI Native GTM Systems

Location: Remote, U.S.-based
Department: Business Systems / GTM Ops
Reports to: Director of GTM Ops

The Role

We’re hiring a Full-Stack Engineer to build AI-native applications and systems that power how Finite State sells, supports, and grows.

This role is for a product-minded engineer first. You will work directly with the Director of GTM Ops to turn business problems into software, agents, and workflows that improve execution across the customer lifecycle. You will design and ship products end to end, with a focus on AI-native experiences, sound architecture, and fast iteration.

What You’ll Do

• Build internal applications that improve execution across GTM, operations, and customer-facing teams
• Design and ship AI-native products, agentic workflows, and full-stack systems end to end
• Develop integrations across Salesforce, HubSpot, product data, and other business systems
• Build AI-assisted and agentic workflows that improve speed, decision quality, and execution
• Build reliable data flows, orchestration layers, and system architecture that scale with the business
• Partner with business stakeholders to identify high-value problems and ship practical solutions quickly
• Use modern AI development tools and engineering workflows to accelerate delivery without compromising quality 

What You’ll Build

• AI-assisted research tools that prepare reps before calls with account, buyer, and deal context
• Prospecting engines that research, enrich, and route accounts and contacts
• Pipeline and deal review tools that surface risks, next steps, and coaching insights
• Interactive GTM playbooks with competitive intelligence, objection handling, and recommended actions
• In-workflow copilots and agentic tools that support sellers and customer teams in real time

• Customer health and expansion models that identify risk and growth opportunities
• Automated onboarding workflows that reduce time to value
• Trial, support, and conversion tooling that improves the buyer experience across the funnel

• Internal apps, APIs, orchestration services, and workflow layers that connect fragmented tools
• Data pipelines and operational systems that improve quality, visibility, and reporting accuracy

What You Bring

• Strong full-stack engineering ability with experience shipping production applications end to end
• Experience building modern applications with tools such as TypeScript, React, Node.js, Python, and SQL
• Strong system design skills and good judgment around architecture, maintainability, and tradeoffs
• Experience building AI-native products, agentic systems, or intelligent workflows that go beyond simple prompt wrappers
• Familiarity with frameworks and tooling such as AI-SDK, LangGraph, Agno, or similar orchestration patterns
• Strong product sense and the ability to turn ambiguous business needs into usable software
• Experience working with APIs, integrations, authentication, and event-driven or workflow-based systems
• Comfort working directly with internal stakeholders and owning delivery with minimal oversight
• High velocity with AI-assisted development tools such as Cursor, Claude Code, Codex, or custom engineering harnesses

Preferred Experience

• Experience building software for GTM, operations, or other internal business teams
• Experience with systems such as Salesforce, HubSpot, and modern GTM tooling
• Experience with data workflows, analytics systems, and operational reporting
• Background in B2B SaaS, cybersecurity, or technical product environments
• Familiarity with enrichment providers, workflow orchestration, and modern GTM infrastructure

Why Finite State?

• Be part of building the leading platform for connected device cybersecurity
• Join a fast-moving team that values transparency, innovation and impact
• Work fully remotely with a high degree of autonomy and ownership
• Comprehensive benefits
• Investment: learning stipends to support your professional development
• Equity: share in our growth and success
• Help solve some of the most pressing cybersecurity challenges facing connected device

manufacturers and the millions of people who depend on them

About Finite State

At Finite State, we’re on a mission to secure the connected world. Our platform empowers

product security teams to detect vulnerabilities, manage software supply chain risks, and ensure

compliance across complex device ecosystems. From IoT to critical infrastructure, we provide

unparalleled visibility into firmware and software components, helping organizations protect their

products and customers.

We move with urgency and intent — we’re transparent, own outcomes, put customers first,

speak up, and learn fast — turning evidence into action. CLARITY is how we move fast without

breaking trust.

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 seeking a visionary Director of Embedded Systems Engineering to serve as the strategic architect of our firmware organization. In this leadership role, you will hold full authority over the technical roadmap, team scaling, and operational processes for all Inspiren embedded systems. You will not simply manage existing headcount; you will strategically build a high-performance department capable of delivering complex, connected solutions across R&D, NPI, and sustaining engineering. You will be the primary driver of integrating AI-augmented engineering workflows to accelerate development cycles and set the global standard for how we collaborate with our JDM partners.

What You'll Do

• Strategic Team Building: Own the organizational design and long-term hiring strategy for the embedded systems team. You will proactively identify talent gaps and build a culture of accountability, technical excellence, and collaboration.
• Process Architecture: Define the methodologies for modular, testable, and hardware-flexible platforms. You will establish the comprehensive technical playbooks, coding standards, and architectural expectations that govern how work is performed.
• AI-First Engineering Evangelism: Act as the lead expert and educator on the integration of AI tools within the firmware lifecycle. You will identify and implement AI-driven automation for code generation, unit testing, and predictive maintenance to multiply the team's output.
• JDM & Vendor Orchestration: Lead the technical relationship with our JDM partners. You will define the specifications and interface points that allow external teams to act as a high-velocity extension of our internal core.
• Technical Roadmap Oversight: Provide strategic direction across Inspiren's core technology pillars:
  • Multi-Modal Perception & Sensing: Oversee the firmware strategy for Radar (mmWave), Optical Perception, and High-Fidelity Audio, ensuring low-latency processing and high-integrity data fusion.
  • Communication & Protocol Architecture: Architect a robust roadmap for multi-protocol utilization (WiFi, BLE, LoRa, Thread). You will lead the design and optimization of these channels to ensure mission-critical reliability and uptime.
  • Silicon & Platform Strategy: Manage the long-term roadmap for SoC selection and the "porting pedigree" required to move smoothly between silicon vendors (NVIDIA, MediaTek, Qualcomm, etc.).
• Operational Excellence: Serve as the final word on fleet-wide OTA delivery, secure boot processes, and HIPAA-compliant data handling across the entire embedded ecosystem.
• Cross-Functional Leadership: Serve as the technical bridge between firmware, hardware, and clinical teams, ensuring a unified systems-level approach to safety and reliability.

What You Bring

• Educational Background: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• Experience: 12+ years in embedded systems engineering with 5+ years in a senior leadership role. You have a proven track record of building and scaling engineering departments for high-volume, mission-critical IoT ecosystems or sophisticated consumer electronics where reliability, connectivity, and hardware-software integration are paramount.
• Technical Skills:
  • Strategic Systems Architecture: Expert knowledge of the full embedded landscape (MCU-based RTOS to MPU-based Embedded Linux) and expertise in defining high-level architectures for complex, low-power IoT ecosystems involving multi-modal sensing.
  • AI-Augmented Development: Practical experience implementing AI-driven CI/CD pipelines and LLM-assisted tools to accelerate the firmware lifecycle while maintaining code quality.
  • Global Resource Management: Demonstrated success managing JDM/ODM partnerships in Asia through clear technical documentation and rigorous quality accountability.
  • Protocol Mastery: High-level expertise in designing and optimizing wireless communication channels and networking stacks for ultra-reliable IoT performance.
  • Perception Hardware Oversight: Comprehensive understanding of firmware requirements for mmWave radar, optical sensors, and VoIP/WebRTC audio stacks.
  • Security & Compliance: Mastery of the firmware development lifecycle (SDLC) including secure boot, encrypted telemetry, and HIPAA-compliant data handling.
• Leadership Traits: Excellent verbal and written communication skills with the ability to influence executive leadership and pivot strategies to meet 1-year and 2-year business goals. Start-up experience is a plus.

Details

• The annual salary for this role is $240,000-$280,000 + 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.

Compensation & Benefits

At Inspiren, we are committed to fair, transparent, and equitable compensation. We know that every candidate brings a unique combination of experience, skills, and perspectives, and we take these factors into account when determining pay. While compensation may vary depending on your background, role, and location, we are proud to offer a competitive base salary and total benefits package, alongside eligibility for equity awards in the form of stock options.

We believe great work deserves great rewards. Our compensation and benefits are designed to recognize your contributions and reflect the standards of leading organizations in our field.

Your recruiter will be happy to walk you through the full compensation package, including what your total pay could look like, so you have a clear picture of both the immediate and long-term value of joining our team.

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1100+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing.

Location: This is an office based role. We expect the suitable candidate to be based in Xizhi District, New Taipet City as you will be required to work on-site at our lab.

This is a Python software engineering opportunity for a computer lab engineer passionate about open source software, Linux, and the latest server and network technologies. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing international software company. If you love hacking in your home lab and are curious about hardware, you will love this opportunity.

As an Python Engineer - Data Center Hardware Integration in Canonical, you will be responsible for the day-to-day management and operations of our lab in Taipei which serves as a centre point for Ubuntu server certification of US based silicon and server designs. This includes software defined hardware management, working with, and developing data centre automation tooling (MAAS), interacting with vendors, asset tracking and handling deliveries.  

What your day will look like

• Own a fully automated server lab with the latest server and network silicon from leading vendors.
• Use your Python development skills to develop the Metal as a Service (MAAS) software to work with a large variety of server and network hardware.
• Actively expand MAAS functionality by creating integrations with testing and scheduling software such as Testflinger.
• Manage the physical setup of the lab, ensure it is well structured and tidy, and execute changes either self or through remote hands.
• Work to standardise processes, configurations, and procedures in cooperation with engineers in our other data centres.
• Improve and extend hardware and network monitoring through automation.
• Regularly update asset management tools to ensure accuracy and completeness of the lab’s hardware.
• Update of equipment firmware when appropriate/needed.

What we are looking for in you

• Bachelor’s degree, preferably in Computer Science or Software Engineering
• Python programming experience
• Linux Administration experience
• Mix of Rack and Virtual systems experience
• Able to communicate clearly and effectively in English
• Strong time management skills
• Ability to manage competing priorities
• Ability to work with a globally distributed team of passionate engineers
  
• An exceptional academic track record from both high school and preferably university
• Willingness to travel up to 4 times a year for internal events

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person - we’ve been working remotely since 2004!
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues from your team and others
• Priority Pass for travel and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-Onsite

Senior Embedded Software/Firmware Engineer (Device Drivers)

Location:

• Multiple Positions in Canada
• 100% Remote work
• Preference for those in or adjacent to Eastern Time Zone

Summary:

You will be responsible for the Ethernovia’s Networking devices software stack development this may include Embedded Firmware, kernel/user mode device drivers, stack extensions, debug, and test utilities as well as automated unit/system testing. The drivers will integrate with the Communication Stack of a Linux and AUTOSAR Stack. The device drivers will allow the User application, Middleware and Operating system to take full advantage of the feature rich hardware. As for the firmware it configures, controls, and monitors the communication device and interacts with the host system via device drivers to expose hardware features of the devices. Firmware code may also run as a standalone library within the device driver itself

As a part of the Software team, you will be responsible for architecture, design, implementation, testing, and integration of the device drivers rolled into Ethernovia’s SDK. These drivers are built ground-up for safety critical automotive application.

Also, we build products with strict adherence to Functional Safety and hence every team member is required to fit into a culture of safety and best development practices.

Technical Qualifications

• Bachelors or Master’s degree in Computer Science/Software or related field.
• Work Experience: 6+ years
• Strong understanding of Software Development lifecycle including Architecture, Implementation and Testing fundamentals.
• Proficient in C/C++ Programming Language. Experience in Python is a plus.

• Experience with Software Device Drivers, preferably for communication devices like Ethernet.
• Deep understanding of Operating Systems, Kernel, Platform/Device drivers, preferably Linux Operating System, QNX or Real Time Operating System.
• Experience with integration and testing with Operating System Device Driver Interfaces.
• Hands-on experience with Hardware, preferably communication devices.
• For Firmware role:
• Experience with Firmware, preferably for communication devices like Ethernet.
• Experience with Embedded firmware, preferably for communication devices like Ethernet.
• Experience with integration and testing of firmware and low-level code.
• Hands on Experience with Hardware and embedded processors, preferably for communication devices.
• Expertise in efficient code practices for code footprint and performance.

Nice to Have Experience with

• AUTOSAR Communication Stack
• MCAL
• Experience with simulation and emulation platforms.
• GNU or similar compiler, debugging suite.
• Embedded programming, preferably with communication devices and hardware buses like I2C, SPI, Ethernet, USB.
• Building Automotive or other safety critical systems using qualification methods/processes like MISRA, ASPICE and ISO26262.
• Communication/networking protocols like Ethernet MAC, PHY, Switching, TCP/IP, Security, Serdes, PCIe, NTB, and SR-IOV.
• Video processing standards and protocols
• Code Version Control and Review tools/processes like Perforce/Git, Swarm.
• Build systems like Yocto.
• High performance drivers and test tools preferably networking and communications.
• Virtualization and virtualized device drivers
• Mixed Signal systems - Analog, Digital, Digital Signal Processing (DSP).
• ARM family of processors or similar embedded processors.
• Bootloaders like uboot or similar.

Soft Skills

• Self-motivated and able to work effectively both independently and in a team.
• Excellent communication/documentation skills.
• Attention to details.

What you’ll get in return:

• Technology depth and breadth expansion that can’t be found in a large company
• Opportunity to grow your career as the company grows
• Pre IPO stock options
• Cutting edge technology
• World class team
• Competitive base salary
• Flexible hours
• Medical, dental and vision insurance for employees
• Flexible vacation time to promote a healthy work-life balance

Salary Range:

• The actual offered base salary for Canadian locations will vary depending on factors such as work location, individual qualifications, specializations, experience, skills, job-related knowledge, and internal equity. We would not anticipate that the individual hired into this role will be at or near the top half of the range provided, but the decision will be dependent on the factors of each individual case. The annual salary range for this position is $175,000 - $240,000. The compensation package will also include incentive compensation in the form of pre-IPO ISO options, in addition to base salary and a full range of medical and other benefits.

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 seeking a Senior Embedded Systems Engineer with a strong background in real-time audio, to lead the development of our 2-way communication, dictation, and high-fidelity audio communication platform. If you’ve spent your career at the intersection of Linux and signal processing, battling jitter buffers, optimizing GStreamer pipelines, and navigating the complexities of NAT traversal we would like to hear from you.

This is a hands-on engineering role with meaningful system design work. You will ship features, while also strengthening the foundation those features depend on: modular boundaries, explicit contracts, and automated testing and validation.

What You'll Do

• Architect & Implement: Design a robust, two-way audio solution for embedded Linux platforms.
• Pipeline Mastery: Leverage ALSA to develop, implement, and optimize GStreamer plugins and pipelines for low-latency on-device processing, encoding, decoding. 
• Connectivity & Traversal: Implement and support for WebRTC and ensure seamless connectivity through the use of ICE/ STUN/ TURN protocols in complex enterprise networks.
• Performance Tuning: Profile CPU and memory usage and optimize audio algorithms (AEC, AGC, Noise Suppression) for ARM-based SoC architectures.
• Lead Embedded Systems Projects: Oversee the end-to-end development and performance optimization of firmware for a variety of both microprocessors and microcontrollers.
• Collaborate Cross-Functionally: Work closely with hardware, application, ML, and platform engineers, Product Managers, key-stakeholders, and our JDM partners to define product and system requirements.
• Mentor, Innovate, and Optimize: Stay current with industry trends and emerging technologies. Introduce new methodologies and technologies to both enhance performance and meet design specifications, and help your team grow. Provide deep technical expertise and support in embedded systems development, testing, and validation across the product lifecycle.
• Ensure Quality, Reliability, and Compliance: Leverage your experience making great technical design decisions, lead decision-making on prototyping options, conduct testing, and validate embedded system performance and reliability against requirements, including security, environmental, and accelerated testing. Ensure all embedded software meets regulatory standards and industry best practices. Set quality and reliability specifications.
• Solve Problems: Troubleshoot and diagnose complex, real-world issues - then recommend and implement effective solutions in a timely manner.

What You Bring

• Educational Background: Bachelor's or Master's degree in Embedded Systems, Computer Engineering, Computer Science, or a related engineering field.
• Experience: 7+ years of hands-on experience across the embedded landscape, including Bare-metal and RTOS development for microcontrollers, and Embedded Linux for microprocessor-based systems.
• Real-Time Audio: Deep understanding of digital audio fundamentals (PCM, sample rates, bit-depth), compression standards (Opus, G.711, AAC), and Linux (ALSA, PipeWire, GStreamer).
• Networking Protocol Guru: Proven expertise in VoIP architectures and the WebRTC ecosystem with the ability to explain the nuances of NAT traversal, firewall punch-through, and ICE in your sleep.
• Programming Proficiency: Proficiency in embedded development, coupled with robust analysis and debugging capabilities utilizing tools (Coverity, Valgrind, GDB) and methodologies (SWD, JTAG).
• Communication: Excellent verbal and written communication skills are essential for thriving in our fast-paced, remote-first, dynamic environment, where adapting to changing priorities is key. Start-up 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. 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.

Compensation & Benefits

At Inspiren, we are committed to fair, transparent, and equitable compensation. We know that every candidate brings a unique combination of experience, skills, and perspectives, and we take these factors into account when determining pay. While compensation may vary depending on your background, role, and location, we are proud to offer a competitive base salary and total benefits package, alongside eligibility for equity awards in the form of stock options.

We believe great work deserves great rewards. Our compensation and benefits are designed to recognize your contributions and reflect the standards of leading organizations in our field.

Your recruiter will be happy to walk you through the full compensation package, including what your total pay could look like, so you have a clear picture of both the immediate and long-term value of joining our team.

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.

About the Role

EnCharge AI is seeking a highly skilled Device Driver Engineer to design and implement high-performance driver stack for our cutting-edge AI accelerator hardware. In this role, you will work closely with hardware, firmware, and AI software teams to develop low-latency, high-bandwidth communication between the host system and AI accelerator.

Responsibilities

• Develop, optimize, and maintain Linux/Windows PCIe device drivers for AI accelerators.
• Implement low-level hardware interactions, DMA, memory management, and interrupt handling.
• Work on driver optimizations to reduce latency and improve throughput for AI workloads.
• Debug and troubleshoot PCIe protocol, kernel panics, crashes, and performance bottlenecks.
• Collaborate with hardware, firmware, and AI software teams to define driver interfaces.
• Ensure compliance with PCIe standards (Gen4/Gen5), SR-IOV, BAR memory mapping, and IOMMU.
• Support virtualization (VFIO, SR-IOV, DPUs) and containerized environments (Kubernetes, Docker, etc.).
• Develop tools for profiling, debugging, and monitoring driver performance.
• Contribute to open-source kernel modules if applicable. 

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• 3+ years of experience in device driver development for Linux and/or Windows.
• Strong experience with PCIe-based hardware, including BAR regions, DMA, interrupts, and MMIO.
• Proficiency in C/C++ and kernel-mode programming (Linux Kernel, Windows WDDM/WDF/MCDM).
• Experience with AI-specific accelerators (e.g., GPUs, NPUs, TPUs) is a plus.
• Knowledge of low-level debugging tools (gdb, perf, ftrace, dmesg, PCIe analyzers). 
• Understanding of multi-threading, synchronization, and memory management in kernel space.
• Familiarity with high-performance AI/ML workloads is a plus.
• Experience in hypervisor interactions, VFIO, and passthrough solutions.
• Knowledge of secure boot, firmware updates, and trusted execution environments (TEE). 

 EnchargeAI is an equal employment opportunity employer in the United States.

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.

About the Role

EnCharge AI is looking for an Embedded SW Engineer to develop the firmware for our Edge AI processors. The candidate must possess an excellent understanding of computer architecture and operating system concepts including, but not limited to, memory management, virtualization and PCIe address space. The role includes designing and developing the core Firmware for various parts of the SOC. The candidate must possess strong communication skills to interface with Runtime, Architecture and H/W teams. 

Responsibilities

• Develop the critical pieces of EAI Firmware used to deploy inference jobs on EAI processors
• Validate different IP blocks on the SOC
• Evaluate and integrate third-party device drivers to interface with EnCharge’s SW stack
• Work closely with the Runtime, Hardware and Architecture teams define the driver architecture 

Qualifications

• Bachelors in EE/CS
• Advanced programming skills in C/C++ for operating system kernel & systems development
• Understanding of RISC-V architecture is a plus
• Exposure to PCIe BAR and IOMMU architecture
• Exposure to virtualization and hypervisor technologies
• Deep understanding of operating systems concepts, data structures, x86-64 and accelerator architectures
• Experience with low-level debug tools as well as emulators and simulators
• Experience running, analyzing, and tuning system performance benchmarks
• Excellent verbal and written communication skills 

EnchargeAI is an equal employment opportunity employer in the United States.