The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

About this opportunity:

At Freenome, we are seeking a Senior Software Engineer II to join our innovative Engineering team. The ideal candidate is an experienced backend engineer with a strong background in developing scalable and reliable software solutions. You will play a crucial role in designing, building, and maintaining backend services that support our mission to detect cancer early. This position requires a collaborative mindset, as you will work closely with an interdisciplinary team of engineers, scientists, and product managers to deliver high-quality software solutions. You are passionate about software development best practices and will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer.

The role reports to our engineering management team. This role will be a Remote role. 

What you’ll do:

• Design, develop, and deploy reliable, maintainable, scalable, and fault-tolerant backend services that power both our internal and external systems.
• Collaborate with interdisciplinary teams, including scientists, product managers, and other engineers, to solve complex problems and deliver high-quality software solutions.
• Mentor and guide junior engineers, fostering their growth and enhancing the team's technical expertise.
• Lead code and design reviews, champion engineering best practices and promote a culture of quality and collaboration.
• Contribute to the development of data infrastructure for machine learning applications, ensuring efficient data processing and integration.
• Drive the implementation of engineering hygiene practices, ensuring the reliability and maintainability of our systems.
• Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality.
  

Must haves:

• Bachelor of Science in Computer Science, Engineering, or related field or equivalent training, fellowship, and/or work experience.
• At least 8 years of experience as part of a software development team successfully shipping software products, including leading projects from end-to-end and mentoring others.
• Proficiency in Python and experience with backend development in a team production environment.
• Strong experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud Platform.
• Proven experience in designing and implementing scalable backend systems, with a focus on reliability and performance.
• Excellent written and verbal communication skills, with a mindful and transparent approach to collaboration.
  

Nice to haves:

• Understanding of statistical and machine learning methods, with practical experience in applying them to real-world problems.
• Expertise in developing ETL or data pipelines that run at scale, utilizing common workflow management systems like Flyte, Airflow, or similar.
• Domain-specific experience in computational biology, genomics, bioinformatics, or a related field.
• Experience working in an FDA regulated environment, with a strong understanding of compliance requirements and best practices.
  

Benefits and additional information:

The US target range of our base salary for new hires is $161,925 - $227,325. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.  Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.  

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applicants have rights under Federal Employment Laws.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-REMOTE

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Opportunity to lead key engineering and product decisions
• Actively shipping production code for the Speechify iOS app
• Work within a dedicated product team
• Participate in product discussions to shape the product roadmap
• Maintain and enhance the existing complex app architecture

An Ideal Candidate Should Have

• Experience. You've worked on products that scaled to a large user base
• Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product
• Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience
• Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction
• Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Technical skills. Swift, SwiftUI

Technical Requirements:

• Swift Programming Language
• SwiftUI experience
• Experience in Multithreading Programming
• Working with CI/CD infrastructure
• Experience with Fastlane
• SOLID principles, the ability to write every single class according to SOLID
• Experience with Git and understanding of different Git strategies

What We offer:

• A fast-growing environment where you can help shape the company and product
• An entrepreneurial crew that supports risk, intuition, and hustle
• The opportunity to make a big impact in a transformative industry
• A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture
• Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives
• Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world
• Work in one of the fastest growing sectors of tech: Intersection of Artificial Intelligence and Audio

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

What We Offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its Design award winner for inclusivity for 2025.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

With the growth of our Android app, being the most used text-to-speech app in the Play Store, we find the need for a Senior Android Engineer to help us support the new user base as well as work on new and exciting projects to push us forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Owning major features and working closely with our design team - take ownership of features inside the app and become responsible of delivering high quality features
• Shape the future of our Android team
• Own, maintain and improve reliability metrics for key features
• Participate in discussions across different teams - Product, Design, Engineering
• Review pull requests, and support other teammates
• Handle critical issues or cope with unexpected challenges 
• Take ownership of feature releases and provide nightly builds for the QA team

An Ideal Candidate Should Have

• 5+ years of software engineering experience
• Familiarity with Android components
• Experience building or contributing to at least one Android app
• Product design intuition and user empathy
• Drive to push the boundaries of Android UI/UX
• Understanding of the importance of tests and how to approach writing tests
• Self-drive to improve the app and codebase above and beyond what's outlined in the spec
• Rock solid experience with Kotlin, Kotlin Coroutines, Kotlin Flow, Dagger 2, MVVM, Clean Architecture, Background Services, Music Player Service, Android Animations, Jetpack Navigation, JUnit tests
• Excellent communication skills
• User oriented problem solving approach
• Driven with continuous feedback from leaders

Bonus:

• Experience building, maintaining, or otherwise contributing to open source projects in Android
• Experience with iOS, Web or NodeJS

Technologies we use:

• Kotlin
• Kotlin Coroutines
• Kotlin Flow
• Jetpack Navigation
• Dagger 2
• Room
• Custom Views, Canvas & Paint
• Jetpack Compose
• JUnit

What We offer:

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Role

We’re looking for an exceptional Senior Full-Stack Software Engineer to work hand in hand with our Product team to build polished, high-performance web applications using React with FastAPI on the backend and Postgres as a database.

The ideal candidate leads with deep frontend expertise in building sophisticated, stateful UIs in React/TypeScript, while bringing enough backend fluency to own features end-to-end. You'll build rich, data-dense interfaces for scientific workflows where getting the interaction design and state management right is the hard part. Additionally, the ideal candidate is an 'AI native' and uses their strong technical expertise to augment the prototyping speed provided by LLMs. You'll ship deliverables in days, not months, and have a sharp instinct for system architectures that achieve rapid delivery and robust performance.

You will be a core contributor to shaping our next-generation biotech platform that discovers and tests new drugs on lab-grown human tissues.

Own the building of scientific experiment design and results-monitoring tools that, together with our platform, have enabled Vivodyne to partner with a majority of the top-10 pharmaceutical companies in making better, safer cures to complex human diseases. You will be expected to deliver web applications that align with well-designed frames/user flows and product requirements that help scientists interact seamlessly with our unique datasets, robotic systems, and lab-grown tissues.

You’ll have the opportunity to work at the cutting edge of biotech and software engineering, collaborating with teams spanning tissue engineering, robotics, and AI. You'll be working a few feet away from large precision robots, laser microscopes, and robot arms, surrounded by an exceptionally talent-dense team of experts from multiple scientific disciplines.

You will be able to focus on building internal products and tools with incredible functionality, surrounded by sophisticated end users directly appreciative of the products you build---without needing to do integration testing for first-gen Chromebooks or handle bug reports from Fire tablets.

While bringing a passion and exquisite skill for building and shipping high-quality applications that drive scientific discovery, you'll be involved firsthand in the advancement of human health, you'll watch thousands of human organ tissues grow before your eyes, and join an intense, fun, fast-moving team in shaping the future of human health.

Responsibilities

Frontend-Led Full-Stack Development — Architect and build complex React/TypeScript interfaces for scientific workflow applications; own backend integration points via API design and data layer work in Postgres.

User Experience — Create clean, responsive, and user-focused interfaces that translate complex requirements into intuitive designs, establishing best practices for component architecture and state management patterns.

Code Quality & Best Practices — Write well-tested, maintainable code with a focus on scalability, performance, and cost-efficiency.

Collaboration & Communication — Work closely with scientists, engineers, and AI researchers to gather requirements, provide updates, and deliver impactful solutions.

High Velocity / AI Accelerated Development — Leverage leading language models and agentic tools like Claude Code and Codex, or similar to ship reliable code quickly; maximize prototyping and component design velocity while balancing robustness of implementations

Requirements and Expectations

Technical Excellence

• Deep expertise in React, TypeScript, and modern frontend architecture (component composition, state management, performance profiling). 
• Proficient in building visually appealing, high-performance React applications.
• Strong CSS/styling architectural skills (CSS modules, Tailwind etc.)
• Strong data modeling skills for biotech applications, translating scientific needs into structured schemas.
• Comfortable in API design, schema definition, and query optimization with Postgres.
• Solid foundation in data structures, algorithms, and software architecture (CS degree preferred).

Accountability & Problem-Solving

• Own full-stack development, ensuring high-quality, tested, and timely feature delivery.
• Balance speed and rigor to solve complex engineering challenges, from large-scale data ingestion to optimizing imagery metadata.

Collaboration & Communication

• Work cross-functionally with scientists, engineers, and AI researchers, aligning technical solutions with user needs.
• Keep end-users in mind, delivering intuitive, efficient workflows.

Delivering Results

• Manage time effectively, handling multiple priorities while shipping production-ready features.
• Champion best practices, maintain clear documentation, and uphold high coding standards.

Architecture & Design

• Design scalable, reliable systems while anticipating and addressing bottlenecks.
• Leverage open-source and existing frameworks to optimize development.

Leadership & Influence

• Mentor junior engineers through code reviews and knowledge sharing.
• Advocate for full-stack best practices to drive scientific and business impact.

Qualifications

• Bachelor’s or Master’s in Computer Science (or related field), or equivalent experience.
• 5+ years building complex React applications with sophisticated state management, not just simple CRUD interfaces.
• Fluency in TypeScript. Knowledge of TanStack ecosystem is a bonus.
• Experience Developing Applications that Render and Annotate Imagery is highly valued.
• Comfortable working with APIs and understanding the data layer.
• Working knowledge of Python (e.g. Pydantic, FastAPI).
• Working knowledge of Postgres in production environments.
• Experience in High-throughput Laboratory Automation or Robotics is highly valued.
• Excellent Communication Skills for conveying technical concepts and aligning stakeholder expectations.
• Project Delivery Experience in fast-paced environments; comfortable balancing shifting priorities and multiple projects.
• Proven Ability to collaborate across disciplines, from biology to automation to AI, delivering high-impact results.
• Track Record of shipping secure, maintainable, and well-tested code.

Vivodyne, Inc. is an equal opportunity employer. Vivodyne complies with all laws respecting equal employment opportunity and does not discriminate against applicants with regard to any protected characteristic as defined by federal, state, and local law.

We’re hiring a Senior Site Reliability Engineer!

• 🗓️ Full-time | Permanent 

• 📍 Preferred locations: Sydney, Brisbane, or Melbourne. Open to Perth based for the right candidate! 

• 🏡 Hybrid working: 2 days in office, 3 days WFH  

Does a competitive salary package with company stock, five wellness days per year, a flexible benefits package of $1000 per year and a fantastic team culture spark your interest? 

👋 Meet AlayaCare! We’re a fast-growing SaaS scale-up on a mission to transform aged and disability care across Australia, Canada, the US and beyond. Our platform helps care providers deliver exceptional service in homes, communities, and residential settings. 

We’re big on Tech with Purpose and passionate about improving lives - all while having a little fun along the way (we’ve been known to enjoy a team lunch or three). 

 The Role: 

We’re on the lookout for a Senior Site Reliability Engineer who’s ready to bring their self-starting nature, AWS experience & analytical mind to the table. Reporting to the SRE, Engineering Manager, you'll help drive the reliability of our live SaaS solutions across the region. 

Your days will involve: 

Development, Automation, and Tooling 

• Design, build, and maintain infrastructure and platform services, including Kubernetes and observability tooling 

• Implement infrastructure as code, configuration management, and automated testing to ensure reliable, repeatable environments 

• Contribute to code and configuration reviews to improve scalability, maintainability, and reuse. 

• All the above using AI first mindset and development tooling such as Cursor and Kiro. 

• Build and tune AI Agents to accelerate delivery, and automate repetitive tasks. 

Reliability and Operations 

• Monitor production systems, troubleshoot issues, and improve logging, monitoring, alerting, and runbooks 

• Participate in on-call rotations, incident response, and post-incident reviews to improve long-term reliability.  

Requirements and Collaboration 

• Partner with Product, Engineering, and development teams to translate requirements into practical infrastructure solutions. 

• Identify risks related to operability, security, performance, and cost, and recommend appropriate trade-offs.  

Continuous Improvement 

• Contribute to operational quality through runbooks, security practices, performance tuning, and process improvements 

• Proactively identify issues, raise concerns, and stay current with emerging SRE practices and technologies. 

You’ll thrive in this role if you: 

• Bring 5+ years of experience in SRE/DevOps or a similar role 

• Believe that AI agents can be better than humans at certain tasks and are interested in maximizing their usage 

• Have solid hands-on experience with AWS and Terraform 

• Have practical experience running workloads on Docker & Kubernetes  

• Are known for your problem-solving skills and your ability to work well autonomously 

• Are proficient in at least one development or scripting language (such as Python, Go, Bash) 

• Have practical knowledge of infrastructure as a code (CloudFormation or Terraform) 

• Have some knowledge of APM, logging & metrics systems (New Relic, Prometheus or ELK)  

• Have some background knowledge of system & network security fundamentals 

• Have some experience participating in incident management 

Bonus points if you: 

• Have knowledge of databases (such as MySQL/PostgreSQL) 

• Have Azure experience 

• Have knowledge of the aged or disability care sector 

• Have previous experience with AlayaCare/Procura products 

We believe great work should be rewarded. Here’s how we show our appreciation: 

• 🏡Choose your own 2 days/week in office, 3 days WFH 

• 💰 Competitive salary + company stock (RSUs) 

• 🧘 5 Wellness days per year  

• 💳 $1,000/year flexible benefits package  

• 👶 22 weeks company-paid parental leave 

• 🧡 2 days company-paid volunteer leave to support causes you care about 

• 🍕 Team lunches, events & wellness activities 

• 🤝 A genuinely open, inclusive, and collaborative culture 

• 💡 A chance to do purposeful work in the fast-paced tech sector, whilst making real impact in the care space.  

Belonging matters. 

We’re committed to building an organisation that reflects the communities we serve. Diversity, equity, inclusion, and accessibility aren’t just buzzwords here, they’re woven into everything we do.  

Need adjustments to participate in the recruitment process? We’ve got you. Just reach out to our HR team: hr-anz@alayacare.com. We do not accept unsolicited CVs from Recruitment Agencies. 

We’re hiring a Senior Site Reliability Engineer!

• 🗓️ Full-time | Permanent 

• 📍 Preferred locations: Sydney, Brisbane, or Melbourne. Open to Perth based for the right candidate! 

• 🏡 Hybrid working: 2 days in office, 3 days WFH  

Does a competitive salary package with company stock, five wellness days per year, a flexible benefits package of $1000 per year and a fantastic team culture spark your interest? 

👋 Meet AlayaCare! We’re a fast-growing SaaS scale-up on a mission to transform aged and disability care across Australia, Canada, the US and beyond. Our platform helps care providers deliver exceptional service in homes, communities, and residential settings. 

We’re big on Tech with Purpose and passionate about improving lives - all while having a little fun along the way (we’ve been known to enjoy a team lunch or three). 

 The Role: 

We’re on the lookout for a Senior Site Reliability Engineer who’s ready to bring their self-starting nature, AWS experience & analytical mind to the table. Reporting to the SRE, Engineering Manager, you'll help drive the reliability of our live SaaS solutions across the region. 

Your days will involve: 

Development, Automation, and Tooling 

• Design, build, and maintain infrastructure and platform services, including Kubernetes and observability tooling 

• Implement infrastructure as code, configuration management, and automated testing to ensure reliable, repeatable environments 

• Contribute to code and configuration reviews to improve scalability, maintainability, and reuse. 

• All the above using AI first mindset and development tooling such as Cursor and Kiro. 

• Build and tune AI Agents to accelerate delivery, and automate repetitive tasks. 

Reliability and Operations 

• Monitor production systems, troubleshoot issues, and improve logging, monitoring, alerting, and runbooks 

• Participate in on-call rotations, incident response, and post-incident reviews to improve long-term reliability.  

Requirements and Collaboration 

• Partner with Product, Engineering, and development teams to translate requirements into practical infrastructure solutions. 

• Identify risks related to operability, security, performance, and cost, and recommend appropriate trade-offs.  

Continuous Improvement 

• Contribute to operational quality through runbooks, security practices, performance tuning, and process improvements 

• Proactively identify issues, raise concerns, and stay current with emerging SRE practices and technologies. 

You’ll thrive in this role if you: 

• Bring 5+ years of experience in SRE/DevOps or a similar role 

• Believe that AI agents can be better than humans at certain tasks and are interested in maximizing their usage 

• Have solid hands-on experience with AWS and Terraform 

• Have practical experience running workloads on Docker & Kubernetes  

• Are known for your problem-solving skills and your ability to work well autonomously 

• Are proficient in at least one development or scripting language (such as Python, Go, Bash) 

• Have practical knowledge of infrastructure as a code (CloudFormation or Terraform) 

• Have some knowledge of APM, logging & metrics systems (New Relic, Prometheus or ELK)  

• Have some background knowledge of system & network security fundamentals 

• Have some experience participating in incident management 

Bonus points if you: 

• Have knowledge of databases (such as MySQL/PostgreSQL) 

• Have Azure experience 

• Have knowledge of the aged or disability care sector 

• Have previous experience with AlayaCare/Procura products 

We believe great work should be rewarded. Here’s how we show our appreciation: 

• 🏡Choose your own 2 days/week in office, 3 days WFH 

• 💰 Competitive salary + company stock (RSUs) 

• 🧘 5 Wellness days per year  

• 💳 $1,000/year flexible benefits package  

• 👶 22 weeks company-paid parental leave 

• 🧡 2 days company-paid volunteer leave to support causes you care about 

• 🍕 Team lunches, events & wellness activities 

• 🤝 A genuinely open, inclusive, and collaborative culture 

• 💡 A chance to do purposeful work in the fast-paced tech sector, whilst making real impact in the care space.  

Belonging matters. 

We’re committed to building an organisation that reflects the communities we serve. Diversity, equity, inclusion, and accessibility aren’t just buzzwords here, they’re woven into everything we do.  

Need adjustments to participate in the recruitment process? We’ve got you. Just reach out to our HR team: hr-anz@alayacare.com. We do not accept unsolicited CVs from Recruitment Agencies. 

We’re hiring a Senior Site Reliability Engineer!

• 🗓️ Full-time | Permanent 

• 📍 Preferred locations: Sydney, Brisbane, or Melbourne. Open to Perth based for the right candidate! 

• 🏡 Hybrid working: 2 days in office, 3 days WFH  

Does a competitive salary package with company stock, five wellness days per year, a flexible benefits package of $1000 per year and a fantastic team culture spark your interest? 

👋 Meet AlayaCare! We’re a fast-growing SaaS scale-up on a mission to transform aged and disability care across Australia, Canada, the US and beyond. Our platform helps care providers deliver exceptional service in homes, communities, and residential settings. 

We’re big on Tech with Purpose and passionate about improving lives - all while having a little fun along the way (we’ve been known to enjoy a team lunch or three). 

 The Role: 

We’re on the lookout for a Senior Site Reliability Engineer who’s ready to bring their self-starting nature, AWS experience & analytical mind to the table. Reporting to the SRE, Engineering Manager, you'll help drive the reliability of our live SaaS solutions across the region. 

Your days will involve: 

Development, Automation, and Tooling 

• Design, build, and maintain infrastructure and platform services, including Kubernetes and observability tooling 

• Implement infrastructure as code, configuration management, and automated testing to ensure reliable, repeatable environments 

• Contribute to code and configuration reviews to improve scalability, maintainability, and reuse. 

• All the above using AI first mindset and development tooling such as Cursor and Kiro. 

• Build and tune AI Agents to accelerate delivery, and automate repetitive tasks. 

Reliability and Operations 

• Monitor production systems, troubleshoot issues, and improve logging, monitoring, alerting, and runbooks 

• Participate in on-call rotations, incident response, and post-incident reviews to improve long-term reliability.  

Requirements and Collaboration 

• Partner with Product, Engineering, and development teams to translate requirements into practical infrastructure solutions. 

• Identify risks related to operability, security, performance, and cost, and recommend appropriate trade-offs.  

Continuous Improvement 

• Contribute to operational quality through runbooks, security practices, performance tuning, and process improvements 

• Proactively identify issues, raise concerns, and stay current with emerging SRE practices and technologies. 

You’ll thrive in this role if you: 

• Bring 5+ years of experience in SRE/DevOps or a similar role 

• Believe that AI agents can be better than humans at certain tasks and are interested in maximizing their usage 

• Have solid hands-on experience with AWS and Terraform 

• Have practical experience running workloads on Docker & Kubernetes  

• Are known for your problem-solving skills and your ability to work well autonomously 

• Are proficient in at least one development or scripting language (such as Python, Go, Bash) 

• Have practical knowledge of infrastructure as a code (CloudFormation or Terraform) 

• Have some knowledge of APM, logging & metrics systems (New Relic, Prometheus or ELK)  

• Have some background knowledge of system & network security fundamentals 

• Have some experience participating in incident management 

Bonus points if you: 

• Have knowledge of databases (such as MySQL/PostgreSQL) 

• Have Azure experience 

• Have knowledge of the aged or disability care sector 

• Have previous experience with AlayaCare/Procura products 

We believe great work should be rewarded. Here’s how we show our appreciation: 

• 🏡Choose your own 2 days/week in office, 3 days WFH 

• 💰 Competitive salary + company stock (RSUs) 

• 🧘 5 Wellness days per year  

• 💳 $1,000/year flexible benefits package  

• 👶 22 weeks company-paid parental leave 

• 🧡 2 days company-paid volunteer leave to support causes you care about 

• 🍕 Team lunches, events & wellness activities 

• 🤝 A genuinely open, inclusive, and collaborative culture 

• 💡 A chance to do purposeful work in the fast-paced tech sector, whilst making real impact in the care space.  

Belonging matters. 

We’re committed to building an organisation that reflects the communities we serve. Diversity, equity, inclusion, and accessibility aren’t just buzzwords here, they’re woven into everything we do.  

Need adjustments to participate in the recruitment process? We’ve got you. Just reach out to our HR team: hr-anz@alayacare.com. We do not accept unsolicited CVs from Recruitment Agencies. 

About this opportunity:

At Freenome, we are seeking a Senior Network Engineer with experience managing enterprise and data center network infrastructure. This person will be part of the team tasked with delivering the network infrastructure for Freenome’s HQ campus. Additionally, this person will be responsible to ensure Freenome’s network infrastructure is scalable and following industry best practices. The ideal candidate will have hands-on experience with enterprise network technologies, automation tools, and a background in managing secure network solutions.

The role reports to the Director, IT. This role will be a Hybrid role.

What you’ll do:

• Lead the architecture design and implementation of the network infrastructure; both on-prem and in Cloud.
• Lead Zero Trust implementation and maintenance.
• Work closely with engineering and laboratory teams to gather requirements, analyze, and propose infrastructure solutions.
• Contribute to the delivery of a global standard network infrastructure.
• Develop and maintain network documentation, including diagrams, policies, procedures, and best practices.
• Troubleshoot and remediate any events impacting the operations and availability of the global network infrastructure.

Must haves:

• A minimum of 5 years Network Engineering experience.
• A minimum of 3 years Firewall security experience.
• A minimum of 3 years experience with configuring and managing Palo Alto Network firewalls.
• Juniper Networks JNCIP-ENT certification or equivalent experience.
• Advanced understanding of network hardware, software, protocols, and technologies.
• Experience with enterprise wireless network solutions and deployments.
• Hands-on experience with SSL and IPsec VPNs.
• Experience with network monitoring, management, and troubleshooting tools.
• Ability to work individually, as well as in a dynamic team environment.
• Strong communication and problem-solving skills.
• Ability to prioritize and manage multiple tasks and projects simultaneously.
• Strong documentation skills.

Nice to haves:

• Experience working in Clinical Diagnostics or Pharmaceutical Manufacturing.
• Expert experience with Juniper Networks products and solutions.
• Expert experience with Palo Alto Network Firewalls, Prisma, and Panorama.
• Experience with efficient iP SOLIDserver DDI.
• Engineering networks in GCP or other cloud providers.

Benefits and additional information:

The US target range of our base salary for new hires is $156,750 - $200,025. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.  Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.  

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applicants have rights under Federal Employment Laws.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-HYBRID

PsiQuantum’s mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. 

Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. 

Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. 

In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale. 

PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact. 

Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real. 

Come join us. 

Job Summary:

PsiQuantum is rapidly scaling to build the world's first useful fault-tolerant quantum computer. At the forefront of this effort, we need a motivated physicist/engineer to join our new laboratory in Brisbane and help us test the limits of our beyond-state-of-the-art quantum photonic platform. This role will focus on the validation and high-performance operation of our quantum photonic systems, and the development and validation of related methodology. The successful candidate will be responsible for executing experiments—including data analysis and interpretation—to validate and calibrate quantum computer subsystems to fault-tolerant levels at high cadence. They will also assist with experimental design. They will identify physical processes that limit photonic quantum performance and feedback new understandings to improve designs and operations of future generation of quantum hardware, and new generations of validation methodologies. They will collaborate broadly with design and engineering teams across all of PsiQuantum’s technical disciplines, including optics, quantum optics, photonics, electronics, cryogenics, quantum architecture, and software to understand system performance and inform engineering models.

Responsibilities:

• Be part of a team pushing photonic quantum computing hardware to fault-tolerant quantum performance.
• Development of classical and non-classical measurements and procedures, and execution of these, to validate optical quantum computer systems performance.
• Develop and verify methods for calibration, self-test, and control of novel quantum photonic systems.
• Develop clear and quantitative metrics for quantum performance.
• Work with other teams to ensure that developed, defined, and documented validation objectives fit with the broader company mission and timeframes.
• Develop requirements for the software and electronics teams to implement procedures and manage data.
• Analyse, reduce, and deliver experimental data. Work with other engineering teams to ensure that the data informs engineering models for system performance.
• Debug complex systems and work with other engineering teams to conduct failure analysis and resolve design or manufacturing issues as appropriate.
• Communicate validation outcomes broadly to internal stakeholders and help guide corrective actions.
• Work on-site in the lab in Brisbane, Australia.

Experience/Qualifications:

• Ph.D or equivalent experience in experimental quantum optics/quantum physics, photonic/electrical engineering, or a related field, and a demonstrated track record of delivering high quality research outcomes.
• Demonstrated expertise in the design and execution of complex quantum experiments in a cross-functional environment.
• Broad technical knowledge with ability to dive deep into required technical areas of our systems including hardware, software, controls, precision measurement, photonics, and quantum information.
• Software development for instrumentation, controls, test equipment, and data analysis (python preferred).
• Proven team player with an ability to work effectively across departments, sites, time zones.
• Excellent verbal and written communication skills with an ability to communicate effectively to a variety of audiences including senior leadership and technical experts.
• Demonstrated interest in PsiQuantum’s mission and vision for quantum computing, with an ability to contribute within a fast-paced start-up environment consistent with PsiQuantum’s values of communication, collaboration, respect, results, and challenge.

PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws.

Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com.

We are not accepting unsolicited resumes from employment agencies.

About this opportunity:

At Freenome, we are seeking a Senior Machine Learning Research Engineer to join the Machine Learning Science (MLS) team, within the Computational Science department. The ideal candidate has a strong knowledge in designing and building deep learning (DL) pipelines, and expertise in creating reliable, scalable artificial intelligence/machine learning (AI/ML) systems in a cloud environment. 

The MLS team at Freenome develops DL models using massive-scale genomic data that presents significant challenges for current training paradigms. The Senior Machine Learning Research Engineer will primarily be responsible for developing and deploying the infrastructure needed to support development of such DL models: enabling distributed DL pipelines, optimizing hardware utilization for efficient training, and performing model optimizations. As part of an interdisciplinary R&D team, they will work in close collaboration with machine learning scientists, computational biologists and software engineers to accelerate the development of state-of-the-art ML/AI models and help Freenome achieve its mission of reducing cancer mortality via accessible early detection.

The role reports to the Director of Machine Learning Science. This can be a hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote.

What you’ll do:

• Implement and refine DL pipelines on distributed computing platforms enhancing the speed and efficiency of DL operations including model training, data handling, model management, and inference.
• Collaborate closely with ML scientists and software engineers to understand current challenges and requirements and ensure that the DL model development pipelines you create are perfectly aligned with scientific goals and operational needs.
• Continuously monitor, evaluate, and optimize DL model training pipelines for performance and scalability.
• Stay up to date with the latest advancements in AI, ML, and related technologies, and quickly learn and adapt new tools and frameworks, if necessary.
• Develop and maintain robust and reproducible DL pipelines that guarantee that DL pipelines can be reliably executed, maintaining consistency and accuracy of results.
• Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation pipelines.
• Act as a bridge facilitating communication between the engineering and scientific teams, documenting and sharing best practices to foster a culture of learning and continuous improvement.

Must haves:

• MS or equivalent experience in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Software Engineering, with an emphasis on AI/ML theory and/or practical development.
• 5+ years of post-MS industry experience working on developing AI/ML software engineering pipelines.
• Proficiency in a general-purpose programming language: Python (preferred), Java, Julia, C, C++, etc.
• Strong knowledge of ML and DL fundamentals and hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, Jax or Scikit-learn.
• In-depth knowledge of scalable and distributed computing platforms that support complex model training (such as Ray or DeepSpeed) and their integration with ML developer tools like TensorBoard, Wandb, or MLflow.
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and how to deploy and manage AI/ML models and pipelines in a cloud environment.
• Understanding of containerization technologies (e.g., Docker) and computing resource orchestration tools (e.g., Kubernetes) for deploying scalable ML/AI solutions.
• Proven track record of developing and optimizing workflows for training DL models, large language models (LLMs), or similar for problems with high data complexity and volume.
• Experience managing large datasets, including data storage (such as HDFS or Parquet on S3), retrieval, and efficient data processing techniques (via libraries and executors such as PyArrow and Spark).
• Proficiency in version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) practices to maintain code quality and automate development workflows.
• Expertise in building and launching large-scale ML frameworks in a scientific environment that supports the needs of a research team.
• Excellent ability to work effectively with cross-functional teams and communicate across disciplines. 
  

Nice to haves:

• Experience working with large-scale genomics or biological datasets.
• Experience managing multimodal datasets, such as combinations of sequence, text, image, and other data.
• Experience GPU/Accelerator programming and kernel development (such as CUDA, Triton or XLA).
• Experience with infrastructure-as-code and configuration management.
• Experience cultivating MLOps and ML infrastructure best practices, especially around reliability, provisioning and monitoring.
• Strong track record of contributions to relevant DL projects, e.g. on github.
  

Benefits and additional information:

The US target range of our base salary for new hires is $161,925 - $227,325 You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.  Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.  

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applicants have rights under Federal Employment Laws.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-REMOTE

Role

As a Principal Mechanical Engineer at Vivodyne, you will be part of a multi-disciplinary team pushing the boundaries of automated, large-scale "organ-on-a-chip" robotics and related manufacturing systems. Your focus will be on developing and optimizing hardware and software that orchestrates robotic arms, embedded controllers, and microfluidic systems to enable high-throughput, high-precision biological workflows.

This role requires expertise across hardware and software, but primarily hardware.  From high-level motion control and machine vision to robotics programming and embedded firmware. You’ll work extensively with existing Python (less so with, C#, and C++) codebases, ensuring seamless system integration and performance.

You are a mechanical design expert.  Things like kinematic docking, 440 vs 316, FEA, and error budgets are very familiar to you.  Your friends include McMaster-Carr, Misumi, and Grainger. 

Collaboration is key—you’ll engage with mechanical engineers, biologists, immunologists, AI scientists, and process engineers to design and refine automation workflows that drive breakthroughs. We’re looking for a problem solver comfortable working across multiple domains, thriving in a fast-paced, high-innovation environment that values continuous learning and technical excellence.

This is a full-time, onsite role in San Francisco, where you’ll be designing, building, and testing some of the most advanced automation and high-throughput biology systems in the world.

Responsibilities

• Architect, design, and implement advanced automation systems, ranging from automated microfluidic manufacturing to high-precision mammalian cell culture platforms—all of which are mission-critical and highly visible both internally and externally.
• Develop hardware and software systems that acquire and process data reliably, ensuring smooth handoffs to production through rigorous documentation, data acquisition, and analysis.
• Embrace the dynamic nature of a rapidly growing startup, working across multiple projects and disciplines.
• Collaborate cross-functionally with Product leads, tissue engineers, microfluidics specialists, and AI researchers etc. to gather requirements, set technical objectives, and integrate new features into our robotics platforms.
• Design and implement resilience mechanisms to ensure system robustness, enabling fault detection, fault recovery, and minimal downtime, while maintaining data integrity.
• Proactively identify optimization opportunities, selecting priorities through engineering analysis and data-driven decision-making.
• Communicate progress and findings to internal stakeholders—including mechanical engineers, data scientists, and senior leadership—through data-laden presentations and technical reports.

Requirements and Expectations

Technical Expertise & Knowledge

• Bachelor’s degree (M.S. or Ph.D. preferred) in Mechanical Engineering, Chemical Engineering, or a related field with a focus on microfluidics, tissue engineering, or lab automation at least six years of directly relevant industry experience.
• Broad experience in hardware and, preferable, software design for automation, spanning off-the-shelf solutions and custom-built systems—you have developed complex automation workflows for production-level environments.
• Proficiency in key hardware and software tools, including SolidWorks (expert-level, CAM experience is a plus), and at some exposure to Python/Matlab/C++/C#/Javascript/etc.
• Hands-on experience with commonly used automation hardware, such as vision/camera systems (optics and/or optomechanical expertise is a plus), motion control, liquid handling, and pick-and-place robotics.
• Highly knowledgeable in various Manufacturing Technologies, you know how things are made and which approaches fit a particular application
• Industry-specific expertise is highly valued:
• Biotech/lab automation or semiconductor robotics experience is a strong advantage.
• Knowledge of microfluidics and fluid handling systems.
• Experience integrating robotics with high-content imaging and confocal microscopy systems, optimizing workflows for advanced imaging pipelines.
• Biology background or familiarity with cell and tissue engineering concepts is a significant plus, especially in handling biological samples.
• Bonus points for experience with:
• Electronics/PCBA design or basic knowledge (reading schematic, troubleshooting interconnects), statistical analysis/data collection to inform design performance rigorously

Problem Solving & Ownership

• You take an outcome-driven approach, translating project goals and technical challenges into systematic, resilient robotics solutions.
• Strong ownership mentality, ensuring the timely delivery of high-reliability features and improvements.
• Growth-oriented, continuously seeking ways to enhance automation processes, optimize robotic operations, and drive innovation.

Collaboration & Communication

• A team player, capable of working with engineers, scientists, and external stakeholders to define requirements, refine designs, and communicate project progress effectively.
• Clear communicator, able to explain complex robotics concepts to cross-functional teams, from software engineers to biologists.
• Interdisciplinary mindset, integrating feedback from various fields to develop thoughtful, iterative design improvements.

Innovation & Leadership Mindset

• Passionate about staying at the cutting edge of robotics, bringing fresh ideas from emerging technologies, best practices, and research to the team.
• Comfortable taking initiative in uncharted territories, whether it’s developing new motion-planning algorithms or integrating novel sensors and hardware.

Why Vivodyne?

• High-Impact Mission – Play a pivotal role in transforming drug discovery and human therapeutics through advanced robotics and automation.
• Multi-Disciplinary Exposure – Work alongside leading experts in robotics, AI, biology, and microfluidics, expanding your expertise in a truly collaborative setting.
• Growth Opportunities – A fast-growing startup environment with significant autonomy, ownership, and influence over best practices in the intersection of biotech and robotics.
• Innovative Culture – Join a team that prioritizes continuous learning, rigorous engineering and scientific standards, and bold problem-solving.

If you're excited about revolutionizing automation in organoid engineering and biotech—while pushing the boundaries of robotics, AI, and advanced systems—let’s connect! Please submit your resume and a brief statement of interest. We look forward to exploring the opportunity together.

Vivodyne, Inc. is an equal opportunity employer. Vivodyne complies with all laws respecting equal employment opportunity and does not discriminate against applicants with regard to any protected characteristic as defined by federal, state, and local law.