Mythic AI Logo

Mythic AI

Reliability Engineer

Posted 4 Days Ago
Be an Early Applicant
Hybrid
Austin, TX, USA
165K-195K Annually
Senior level
Hybrid
Austin, TX, USA
165K-195K Annually
Senior level
Develop and execute reliability and automotive qualification strategies for next-generation AI silicon. Lead stress testing, reliability modeling, failure analysis, and qualification reporting while partnering with design, test, quality, manufacturing, OSATs, foundries, and external labs. Analyze failure data, identify wear-out mechanisms, improve robustness, and balance reliability, cost, schedule, and qualification timelines.
The summary above was generated by AI

Mythic is building next-generation AI silicon, and we're looking for a hands-on Reliability Engineer to help ensure our chips are qualified, robust, and ready for the environment our customers depend on. Early on, you'll help build out the qualification plan for our next-generation product — a chip that blends analog/mixed-signal circuitry and embedded flash memory, with automotive-grade qualification as a critical part of the bar it needs to clear. This is a hands-on, physical-silicon role — centered on stress testing, failure analysis, and qualification execution rather than software or firmware — and it's a great fit for someone who enjoys taking ambiguous, early-stage problems and turning them into rigorous, repeatable qualification and reliability practices that give the company (and our customers) confidence in the product.

 

What you'll do

  • Build and drive Mythic's reliability and qualification strategy, including the qualification plan for our next-generation product

  • Own automotive-grade qualification planning and execution, including stress testing (e.g., HTOL, HAST, TC, autoclave) and reliability modeling

  • Partner closely with design, test engineering, quality, and manufacturing teams to ensure products meet reliability and qualification requirements

  • Analyze reliability and failure data to identify systematic issues, wear-out mechanisms, and opportunities to improve robustness

  • Work directly with OSATs, foundries, and external test labs to execute qualification and reliability test plans

  • Make informed tradeoffs across reliability margin, qualification timeline, cost, and product schedule

  • Improve infrastructure, documentation, and analytics for reliability tracking and qualification reporting

  • Operate as an individual contributor who is comfortable getting deep into reliability data, failure analysis, and cross-functional execution

What you'll bring

  • 5+ years of experience in semiconductor reliability engineering, qualification engineering, or a related silicon production role

  • Experience taking silicon products through automotive qualification (e.g., AEC-Q100 or similar)

  • Hands-on experience designing and executing reliability stress tests and qualification plans

  • Deep understanding of semiconductor failure mechanisms, wear-out, and reliability modeling

  • Strong debug instincts and data fluency — you know how to find signal in noisy reliability and failure data

  • Experience working cross-functionally with design, test, quality, and manufacturing teams

  • Comfortable operating with urgency, ambiguity, and a high bar for execution

  • Builder mindset: you do not wait for perfect structure — you create it

HQ

Mythic AI Austin, Texas, USA Office

Austin, TX, United States

Similar Jobs

3 Days Ago
Remote or Hybrid
17 Locations
160K-210K Annually
Senior level
160K-210K Annually
Senior level
Information Technology • Productivity • Software • Infrastructure as a Service (IaaS)
Own the reliability, performance, architecture, and lifecycle of heterogeneous database platforms. Design and operate relational, NoSQL, caching, time-series, and warehouse systems; improve provisioning, developer tooling, CI/CD, backups, disaster recovery, security, and performance. Influence architecture and product decisions, lead migrations and upgrades, troubleshoot developer and production environments, and establish platform standards, documentation, and regulatory traceability.
Top Skills: Amazon AuroraAmazon RdsAWSAzureBigQueryC++Ci/CdCloudFormationFargateGCPGoIamJavaKotlinKubernetesPostgresRedshiftSnowflakeTerraform
14 Minutes Ago
In-Office
147K-234K Annually
Senior level
147K-234K Annually
Senior level
Fintech • Information Technology • Payments • Sharing Economy • Financial Services • Cryptocurrency
Leads reliability, scalability, performance, and security for large-scale cloud systems. Designs AWS infrastructure with Terraform, automates CI/CD and operational workflows, establishes SLOs, manages incident response and disaster recovery, develops monitoring and observability solutions, and builds internal tools. Partners with engineering teams on architecture and reliability practices, conducts code reviews, mentors SREs, and supports compliance, vulnerability management, and security integration.
Top Skills: Agentic ApplicationsAmazon Api GatewayAmazon AuroraAmazon CloudfrontAmazon CloudwatchAmazon DynamodbAmazon EbsAmazon Ec2Amazon EcsAmazon EfsAmazon RdsAmazon Route 53Amazon S3Amazon VpcAWSAws FargateAws LambdaAws X-RayChaos EngineeringCi/CdDastDatadogDistributed SystemsDockerEvent-Driven SystemsGitlabGitopsGrafanaIamInfrastructure As CodeJavaKubernetesLlmsMicroservicesNew RelicNode.jsOwasp Top 10PythonSastServerless ArchitecturesSplunkTerraform
26 Days Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
225K-265K Annually
Senior level
225K-265K Annually
Senior level
Fintech • Information Technology • Software • Financial Services
Own the durability, recoverability, performance, and security of a production PostgreSQL/RDS fleet supporting a live trading platform. Lead replication, failover, backup and restore, disaster-recovery drills, data lifecycle management, access control, encryption, and database observability. Investigate engine-level performance issues including WAL contention, replica lag, bloat, and locking. Build infrastructure and AI-assisted operational tooling while documenting runbooks and reliability decisions.
Top Skills: AlloydbAmazon AuroraAmazon RdsAWSBashBigQueryElkGrafanaKafkaKubernetesLinuxPostgresPrometheusPythonSQLTerraform

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account