Nokia Logo

Nokia

Reliability Engineer

Reposted 2 Days Ago
In-Office or Remote
Hiring Remotely in United States
Senior level
In-Office or Remote
Hiring Remotely in United States
Senior level
Drive reliability testing and qualification of cellular base stations, collaborating with R&D for long-term reliability and product lifecycle support.
The summary above was generated by AI

Our Business Group is a leader in wireless mobility networks and associated services, with more than 3,500 patent families essential for 5G, a strong 5G portfolio, and a front‑runner position in open and virtualized radio access networks (O-RAN and vRAN). 


MN RF Verification is seeking a technical leader to drive reliability testing and qualification of cellular base stations, supporting the design and development of these systems by testing their long-term reliability. In this role, you will partner closely with R&D during new product development and continue to support products throughout their lifecycle, with a primary focus on unit- and module-level hardware reliability verification.
 

Responsibilities

- Reliability program planning and reliability test planning for all US based programs

- Creating reliability prediction analysis and reports using PTC Windchill with Telcordia standard

- Participate in the global reliability guild as the reliability representative for the US

- Conduct reliability risk anaylsis and early reliability assessments using DFMEA, Sherlock thermal modelling etc.  Integral part of the Feasibility Analysis phases for new products

- Key contact person in the US for reliability issues, including customer cases

- Working closely with Global reliability teams on reliability testing processes and innovation.

- Lessons learned and feedback from escaped defects and feeding back into the reliability and design process for improvement

- Work closely with the PD design teams on all reliability matters and participate in root cause failure analysis and failure analysis. 
 

Qualifications

- Bachelor’s in Electrical Engineering, Computer Science, or Telecommunications

- 5-10 years’ experience as a Reliability Engineer in electronic design, preferably telecommunications, including planning and execution

- 5-10 years experience in reliability predictions and reliability modelling, preferably using PTC Windchill and Telcordia

- Experience in reliability testing techniques and methods, with proven experience in running reliability test programs and planning

- Experience with using Fault Management Tools, root cause failure analysis and corrective action

- Experience in test equipment operation, including Spectrum Analysers, Signal Generators etc

- experience tracking/reporting metrics and gathering and analyzing data from various sources and producing test reports.

- Experience working in a cross functional team/matrixed environment


 You have:

- Fluent in MS Word, MS Excel, MS Office

- Excellent verbal and written communications skills

- Technical leadership and reliability management experience

- Should be a good planner and organizer


It would be nice if you also had:

-Programming ability in python, or similar for testing, data acquisition, and analysis.

- 4G/5G Test Experience 
 

About Us
Advancing connectivity to secure a brighter world.

Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world. 

Learn more about life at Nokia.


Our recruitment process

We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.

If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.

The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia. 

About the Team
Some of our benefits in US:
  • Corporate Retirement Savings Plan
  • Health and dental benefits
  • Short-term disability, and long-term disability
  • Life insurance, and AD&D – Company paid 2x base pay
  • Optional or Supplemental life and AD&D insurance (Employee/Spouse/Child)
  • Paid time off for holidays and Vacation
  • Employee Stock Purchase Plan
  • Tuition Assistance Plan
  • Adoption assistance
  • Employee Assistance Program/Work Life Resource Program

The above benefits exclude students.


Disclaimer for US/Canada

Nokia Maintains broad annual base salary ranges for its roles in order to account for variations in knowledge, skills, experience and market conditions, and with consideration to internal peer equity. Check the salary ranges in the job info section for this role.

All North America job posts will post for a minimum of 7 calendar days and up to 180 days or until candidate/s identified.

Similar Jobs

3 Days Ago
In-Office or Remote
7 Locations
142K-199K Annually
Senior level
142K-199K Annually
Senior level
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
Lead design, automation, and maintenance of cloud-based database infrastructure (primarily SQL Server and MySQL). Improve reliability with monitoring, HA/DR, automation, troubleshooting, on-call support, and mentoring of junior engineers while collaborating across teams.
Top Skills: AuroraAWSBashFailover ClusteringMySQLNew RelicOrchestratorPmmPythonRdsRubySQL ServerVividcortex
3 Days Ago
In-Office or Remote
Expert/Leader
Expert/Leader
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Define and scale SRE standards across teams, implement SLOs/SLIs/error budgets, build observability and resiliency patterns, drive automation and AIOps, improve reliability for large-scale Azure cloud systems, and influence engineering and platform teams.
Top Skills: Ai/MlAiopsAutomationAzureError BudgetsIncident ManagementLogsObservability (MetricsOpentelemetrySlisSlosTracing)
4 Days Ago
Easy Apply
Remote or Hybrid
New Jersey, USA
Easy Apply
127K-249K Annually
Senior level
127K-249K Annually
Senior level
Big Data • Cloud • Software • Database
Maintain and improve multi-cloud Kubernetes infrastructure, CI/CD (Argo Workflows/ArgoCD), observability, and networking. Build reliable continuous deployment tooling and onboarding flows, provide internal support, collaborate across Platform Engineering, contribute upstream (open-source/operators), and participate in a 24/7 on-call rotation to resolve deployment infrastructure issues.
Top Skills: AlertingArgo WorkflowsArgocdAWSAzureCi/CdContainersDnsGCPGoKubernetesLinuxLoad BalancerObservabilityPythonService MeshTcp/IpTls

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account