iOS/Android Automation Engineer
Location
San Francisco; Bellevue; New York
Employment Type
Full time
Location Type
On-site
Department
Software
Compensation
$175K – $280K
Overview
Application
About Sesame
Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice agents part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive.
About the Role
Sesame's voice companion ships on iOS and Android, and we release often. We're growing the mobile quality team and hiring our first dedicated automation engineer for the apps. The point of the role is simple: better coverage, reliable failure triage, and higher-quality releases on a regular cadence. You'll decide how we automate mobile testing, help inform whether a release is ready to ship, and partner across disciplines to deliver the best product experience.
Responsibilities:
Build and own the iOS and Android test automation that runs in our CI.
Deliver a real quality signal on nightly, weekly, and release builds: what runs as a quick sanity check, what runs as deeper regression, and what we still test by hand. Keep iOS and Android at parity.
Automate what people actually do in the app (onboarding, text and voice chats, payments, notifications, settings) and check that the result is right, not just that the screen showed up.
When something fails, write it up so an engineer can fix it without reproducing it from scratch.
Help triage bugs automatically, and tell app, backend, OS, device, network, and test-harness problems apart.
Improve robustness and reliability: better isolation, stable test data, stronger checks, and retries where they make sense.
Keep the dashboard, TestRail, known issues, and release notes in sync so the team sees the real risk before we ship.
Work with the app engineers to move checks that belong in unit or integration tests down to that layer.
Required Qualifications:
7–8 years in software QA / test engineering, including 4+ years building mobile test automation for iOS and/or Android.
Hands-on with at least one mobile framework: XCUITest, XCTest, Espresso, Appium, Maestro, Detox, or similar.
Strong scripting/programming; can build harnesses and small tools yourself.
Has integrated tests into CI/CD or a release pipeline.
Can debug a flaky failure and hand engineering something useful.
Understands release risk and how to prioritize what gets tested.
Comfortable when builds change often and specs aren't finished.
Preferred Qualifications:
Both iOS and Android.
TestRail or a similar test management tool.
Datadog, RUM, Firebase, crash reporting, or other mobile observability.
Testing AI, voice, chat, payments, subscriptions, or latency-sensitive features.
Building dashboards or release reports.
Working with developers to move checks into unit or integration tests.
Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities. Contact careers@sesame.com for assistance.
Full-time Employee Benefits:
401 (k) max employer match: 3.5% of compensation
100% employer-paid health, vision, and dental benefits for you and your dependents
Unlimited PTO and sick time
Flexible spending account with employer matching up to $1,650/year (medical FSA)
Guardian Employee Assistance Program (EAP)
Opportunity to share in the company's success with competitive stock options
Benefits do not apply to contingent/contract workers.
Apply for this Job
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Listed by Sesame for a position based in the United States. Employers on this board attest they are hiring domestically.
Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice agents part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive.
About the Role
Sesame is building a wearable AI hardware device that brings our voice companion into the physical world. We're standing up our hardware quality function from the ground up, and we're looking for our first dedicated Hardware Test Automation Engineer to build the automation backbone for the program. You'll design and own an automated test rig, a rack of devices wired into our CI/CD pipeline that, on every firmware change, builds, flashes, runs the test suite, and generates reports automatically. You'll establish nightly stability runs, weekly stress runs, and long-duration audio sessions, and you'll build the live performance and stress dashboard that becomes the team's shared source of truth for quality. Your metrics will gate releases and back the performance story we tell investors and customers.
This is a high-ownership, high-visibility role at the firmware/wireless/hardware boundary, on a small team that moves fast. You'll partner closely with the firmware team and our hands-on platform tester, and you'll have visibility and authority across both the firmware and the testbed so the two are built to cooperate.
Initial focus (first ~60 days):
Stand up an automated test framework driven from a programmable Bluetooth central (Android, iOS, or a Pi-based rig, whatever fits), firmware-first then integration-first; even if early runs are short, get the foundation in place before it scales.
Establish nightly (sanity/stability) and weekly (stress) automated runs, with extended weekend runs for long-duration audio sessions (e.g., 5-hour and 18-hour using synthetic data).
Begin a live performance/stress dashboard: A2DP/throughput, BT link duration, BT latency, battery life, firmware crash counts, and regression flags.
Responsibilities:
Design, build, and own an automated hardware test rig integrated with CI/CD (build → flash → run → report) for the device.
Implement throughput/bandwidth, connectivity stress tests (e.g., iPerf, A2DP/AVRCP), including sustained-throughput, connection-stability/range testing, and simulated degraded-connectivity scenarios.
Build API-level tests (easier to automate than full end-to-end iOS flows) covering throughput, sustained load, and crash detection.
Run long-duration audio session testing (multi-hour, synthetic data) and battery/thermal performance characterization (including full discharge cycling).
Build and maintain a live performance & stress dashboard with defined safety thresholds and target ("high-achieving") benchmarks; automatically flag regressions.
Develop diagnostic tooling and support automated bug triage for hardware/firmware issues.
Provide daily automation summaries and updates; support ad hoc/cherry-picked test runs when the team needs targeted coverage.
Partner with firmware (and the QA coordinator) to define what is automated vs. manual, API vs. integrated, and which platform drives the rig.
Required Qualifications:
Hands-on experience building hardware/embedded test automation and integrating it into CI/CD (automated flashing, execution, and reporting).
Solid wireless/networking fundamentals: Bluetooth audio (A2DP/AVRCP), BLE, and throughput testing (e.g., iPerf). You understand what to test, not just how to automate.
Strong scripting/programming (e.g., Python) and the ability to build harnesses and dashboards from scratch.
Experience defining test plans, metrics, and pass/fail thresholds from real data.
Comfort operating in an early-stage, prototype hardware environment with limited units and evolving specs.
Preferred Qualifications:
Experience owning an automation testbed for a shipping consumer hardware product (wearables, audio devices, smart cameras, IoT).
Performance instrumentation experience: latency, sustained-throughput, IPC/cycle-count, and thread/core-level tracing on embedded/multi-core platforms.
Familiarity with Qualcomm chipsets and tooling (e.g., DSP framework, PyDebug) and the realities of vendor bug turnaround.
Experience automating from a programmable Bluetooth central: Android, iOS, a Pi-based rig, or similar; bonus for breadth across more than one.
Battery and thermal test methodology.
Experience with sensor/IMU testing and creative physical test setups for connectivity/range.
Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities. Contact careers@sesame.com for assistance.
Full-time Employee Benefits:
401 (k) max employer match: 3.5% of compensation
100% employer-paid health, vision, and dental benefits for you and your dependents
Unlimited PTO and sick time
Flexible spending account with employer matching up to $1,650/year (medical FSA)
Guardian Employee Assistance Program (EAP)
Opportunity to share in the company's success with competitive stock options
Benefits do not apply to contingent/contract workers.
Listed by Sesame for a position based in the United States. Employers on this board attest they are hiring domestically.
Manufacturing Mechanical Engineer
Location
San Francisco; Bellevue
Employment Type
Full time
Department
Hardware Operations
Compensation
$175K – $280K
Overview
Application
About Sesame
Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice agents part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive.
About the Role
As a Manufacturing Mechanical Engineer at Sesame, you'll own the mechanical process and fixturing that turns our hardware designs into repeatable, high-yield builds. You'll work directly with our contract manufacturers and tooling partners in Taiwan, Japan and Vietnam — defining assembly processes, specifying and reviewing fixtures, running DOEs, and driving failure analysis when builds don't behave.
This is a hands-on role for someone who is roughly 90% in MCAD. You'll spend your time in CAD defining fixtures and process tooling, on the floor validating them, and in the data understanding why a station is losing yield. You'll partner closely with Product Design, Test Engineering and Quality as we take products from EVT through mass production.
You might be a fit if you:
• Have taken a consumer hardware product from prototype builds through to volume manufacturing.
• Are fluent in MCAD and comfortable designing assembly fixtures and process tooling yourself.
• Have worked directly with contract manufacturers and can hold a technical line with them.
• Are energized by being on the factory floor and closing the loop between design intent and what actually gets built.
Responsibilities:
Design and develop assembly fixtures, jigs, and manufacturing tooling using 3D CAD.
Serve as the primary point of contact for fabrication partners internationally.
Procure, assemble, validate, maintain, and improve fixtures, jigs, and related equipment.
Troubleshoot manufacturing tooling issues to improve quality, yield, and throughput.
Manage external partners developing fixtures, jigs, test systems, and equipment.
Partner with Factory Operations leadership to achieve quality and operational goals.
Collaborate with automation vendors to deploy and optimize robotic manufacturing solutions.
Evaluate and implement new manufacturing technologies, equipment, and processes.
Support NPI and process development in collaboration with the U.S. engineering team.
Travel as needed to suppliers and manufacturing partners to ensure successful execution.
Required Qualifications:
7+ years in mechanical engineering, manufacturing engineering, tooling, or related fields.
Expert CAD skills and experience designing tooling, fixtures, jigs, or automated equipment.
Strong understanding of materials (plastics, metals, adhesives) and manufacturing processes, including machining, injection molding, stamping, fabrication, and assembly.
Proven problem-solving ability with experience improving processes, quality, and yield.
Comfortable working with suppliers, fabrication partners, and engineering teams.
Bachelor’s degree in Mechanical Engineering or equivalent practical experience.
Preferred Qualifications:
Master’s degree in Mechanical Engineering or equivalent experience.
10+ years of experience in consumer electronics, precision manufacturing, or a related industry.
Experience bringing consumer electronic products from development through production.
Experience shipping wearable products with demanding industrial design, cosmetic, and quality requirements.
Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities. Contact careers@sesame.com for assistance.
Full-time Employee Benefits:
401 (k) max employer match: 3.5% of compensation
100% employer-paid health, vision, and dental benefits for you and your dependents
Unlimited PTO and sick time
Flexible spending account with employer matching up to $1,650/year (medical FSA)
Guardian Employee Assistance Program (EAP)
Opportunity to share in the company's success with competitive stock options
Benefits do not apply to contingent/contract workers.
Apply for this Job
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Listed by Sesame for a position based in the United States. Employers on this board attest they are hiring domestically.
Staff Software Engineer, Backend Infrastructure
Location
San Francisco; Bellevue; New York
Employment Type
Full time
Location Type
On-site
Department
Software
Compensation
$175K – $280K
Overview
Application
About Sesame
Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice agents part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive.
Responsibilities:
Design, build, and maintain secure, maintainable, self-serve core infrastructure that engineering teams can rely on and operate independently.
Lead the architecture and evolution of a modern ML training infrastructure — scalable, reproducible, and built for rapid experimentation.
Build and operate a modern model serving architecture with a focus on reliability, cost efficiency, and low latency.
Lead and own the low-latency voice interface and audio processing pipeline — a technically demanding, performance-sensitive system at the core of Sesame's product.
Build developer tooling, server infrastructure, and data infrastructure that is high leverage and low maintenance — the kind that makes other engineers faster without creating new dependencies on you.
Lead technical direction within your domain, bring others along through clear communication and well-reasoned proposals, and raise the engineering bar across the team.
Required Qualifications:
A strong systems thinker who is equally comfortable leading technical direction and getting hands-on with implementation.
7+ years of software engineering experience, with significant time in infrastructure, platform, or ML systems roles.
Hands-on reliability engineering experience — you have well-formed convictions about observability, monitoring, deployment systems, and loosely coupled architectures, and you've put them into practice at scale.
Proven track record of building and shipping services at scale, with all the operational complexity that comes with it.
Kubernetes — significant production experience building, operating, and scaling Kubernetes clusters.
Experience designing and shipping flexible domain models and APIs — you think carefully about boundaries, contracts, and long-term maintainability.
A default toward automation — you've consistently built efficiency gains through automation and have the track record to show it.
Strong communication skills — you can lead your own direction, write clearly about tradeoffs, and bring engineers and stakeholders along with you.
Preferred Qualifications:
We'd love to hear about experience in any of these areas — we don't expect any one person to have all of them:
Infrastructure as Code at scale — significant IaC experience, preferably Terraform; CloudFormation, Pulumi, or Kubernetes-based approaches also welcome. Ideally you've led, architected, or contributed to a multi-stack, self-serve IaC system and understand the challenges of building infra that teams can own independently.
ML infrastructure — any combination of the following:
PyTorch experience, especially model optimisation for serving.
ML training or serving experience in general.
Experience building ML serving and/or training infrastructure (TorchServe, Seldon, KServe, Ray Serve, or similar).
Experience building and leading large-scale distributed training and serving systems.
Data engineering — pipeline design, dataset management, or data platform experience.
Database design — complex schema design, query optimisation, and hard data modelling decisions across relational and non-relational stores.
Real-time communication systems — low-latency audio, video, or streaming infrastructure.
Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities. Contact careers@sesame.com for assistance.
Full-time Employee Benefits:
401 (k) max employer match: 3.5% of compensation
100% employer-paid health, vision, and dental benefits for you and your dependents
Unlimited PTO and sick time
Flexible spending account with employer matching up to $1,650/year (medical FSA)
Guardian Employee Assistance Program (EAP)
Opportunity to share in the company's success with competitive stock options
Benefits do not apply to contingent/contract workers.
Apply for this Job
Powered by
Privacy PolicySecurityVulnerability Disclosure
Listed by Sesame for a position based in the United States. Employers on this board attest they are hiring domestically.
About Sesame
Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice agents part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive.
ABOUT THE ROLE
We're looking for a Data Engineer to build and maintain the data pipelines that feed Sesame's AI models. You'll collaborate directly with machine learning engineers and researchers — your job is to make sure they have the right data, in the right shape, at the right time to train, evaluate, and ship models.
Sesame's data is rich and complex: conversations, voice, sensor signals, and product telemetry. You'll design the systems that take raw, unstructured, multimodal data and turn it into clean, versioned, well-documented datasets that ML teams can trust and build on confidently.
This is a deeply technical, infrastructure-focused role — closer to ML engineering than traditional data analytics. You'll be deeply embedded with ML teams, understanding their workflows and building infrastructure that accelerates the full model development lifecycle — from data collection and labeling through training and evaluation.
RESPONSIBILITIES:
- Design and build production data pipelines that prepare conversational, voice, and multimodal data for model training and evaluation.
- Partner directly with ML engineers to understand data requirements for new models and experiments, and deliver datasets that meet those needs.
- Build and maintain infrastructure for dataset versioning, lineage tracking, and reproducibility — so any training run can be traced back to its exact data.
- Develop data quality frameworks that catch issues before they become model quality issues: schema validation, drift detection, and coverage monitoring.
- Optimise large-scale data processing for cost and performance across Sesame's cloud infrastructure.
- Build tooling that makes it easy for ML engineers and researchers to discover, explore, and request data independently.
- Define and enforce data governance and privacy standards, particularly around sensitive conversational and voice data.
- Contribute to architecture decisions around Sesame's broader data platform as the team and data volume grow.
REQUIRED QUALIFICATIONS:
- 5+ years in data engineering, with meaningful experience supporting ML or AI teams specifically.
- Strong SQL and Python skills — you'll use both daily.
- Experience building and operating ETL/ELT pipelines at scale using modern data platforms and tooling.
- Experience with workflow orchestration systems such as Airflow, Dagster, or Prefect.
- Hands-on experience with ML data workflows: training data pipelines, dataset versioning, data labeling pipelines, or model evaluation data.
- A solid understanding of how ML teams work — you don't need to train models; what matters is understanding what makes a good training dataset and why data quality directly affects model performance.
- Comfort working with unstructured and semi-structured data — audio, text, JSON logs — not just clean relational tables.
- Strong communication skills. You'll be embedded with ML engineers and need to bridge data systems and model requirements effectively.
PREFERRED QUALIFICATIONS:
- Vector databases, embedding storage, or feature stores.
- Data from hardware or embedded systems: telemetry, sensors, real-time streams.
- Distributed compute frameworks for large-scale data processing such as Ray or Spark.
- Kubernetes and managed Kubernetes environments such as GKE or EKS.
- Data privacy frameworks, especially around voice or conversational data.
- Building internal tooling or self-serve data platforms.
Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities. Contact careers@sesame.com for assistance.
Full-time Employee Benefits:
- 401 (k) max employer match: 3.5% of compensation
- 100% employer-paid health, vision, and dental benefits for you and your dependents
- Unlimited PTO and sick time
- Flexible spending account with employer matching up to $1,650/year (medical FSA)
- Guardian Employee Assistance Program (EAP)
- Opportunity to share in the company's success with competitive stock options
Benefits do not apply to contingent/contract workers.
Listed by Sesame for a position based in the United States. Employers on this board attest they are hiring domestically.
Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice agents part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive.
About the Role
We're looking for a Data Engineer to build and maintain the data pipelines that feed Sesame's AI models. You'll collaborate directly with machine learning engineers and researchers — your job is to make sure they have the right data, in the right shape, at the right time to train, evaluate, and ship models.
Sesame's data is rich and complex: conversations, voice, sensor signals, and product telemetry. You'll design the systems that take raw, unstructured, multimodal data and turn it into clean, versioned, well-documented datasets that ML teams can trust and build on confidently.
This is a deeply technical, infrastructure-focused role — closer to ML engineering than traditional data analytics. You'll be deeply embedded with ML teams, understanding their workflows and building infrastructure that accelerates the full model development lifecycle — from data collection and labeling through training and evaluation.
Responsibilities:
Design and build production data pipelines that prepare conversational, voice, and multimodal data for model training and evaluation.
Partner directly with ML engineers to understand data requirements for new models and experiments, and deliver datasets that meet those needs.
Build and maintain infrastructure for dataset versioning, lineage tracking, and reproducibility — so any training run can be traced back to its exact data.
Develop data quality frameworks that catch issues before they become model quality issues: schema validation, drift detection, and coverage monitoring.
Optimise large-scale data processing for cost and performance across Sesame's cloud infrastructure.
Build tooling that makes it easy for ML engineers and researchers to discover, explore, and request data independently.
Define and enforce data governance and privacy standards, particularly around sensitive conversational and voice data.
Contribute to architecture decisions around Sesame's broader data platform as the team and data volume grow.
Required Qualifications:
5+ years in data engineering, with meaningful experience supporting ML or AI teams specifically.
Strong SQL and Python skills — you'll use both daily.
Experience building and operating ETL/ELT pipelines at scale using modern data platforms and tooling.
Experience with workflow orchestration systems such as Airflow, Dagster, or Prefect.
Hands-on experience with ML data workflows: training data pipelines, dataset versioning, data labeling pipelines, or model evaluation data.
A solid understanding of how ML teams work — you don't need to train models; what matters is understanding what makes a good training dataset and why data quality directly affects model performance.
Comfort working with unstructured and semi-structured data — audio, text, JSON logs — not just clean relational tables.
Strong communication skills. You'll be embedded with ML engineers and need to bridge data systems and model requirements effectively.
Preferred Qualifications:
Vector databases, embedding storage, or feature stores.
Data from hardware or embedded systems: telemetry, sensors, real-time streams.
Distributed compute frameworks for large-scale data processing such as Ray or Spark.
Kubernetes and managed Kubernetes environments such as GKE or EKS.
Data privacy frameworks, especially around voice or conversational data.
Building internal tooling or self-serve data platforms.
Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities. Contact careers@sesame.com for assistance.
Full-time Employee Benefits:
401 (k) max employer match: 3.5% of compensation
100% employer-paid health, vision, and dental benefits for you and your dependents
Unlimited PTO and sick time
Flexible spending account with employer matching up to $1,650/year (medical FSA)
Guardian Employee Assistance Program (EAP)
Opportunity to share in the company's success with competitive stock options
Benefits do not apply to contingent/contract workers.
Listed by Sesame for a position based in the United States. Employers on this board attest they are hiring domestically.
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