Lead Software Engineer - San Francisco, United States - New Relic

Description

Lead Software Engineer

Lead Software Engineer

Req ID

FY25|R&D|#6371

Location(s)

Atlanta, Georgia, USA; Austin, Texas, USA; Baltimore, Maryland, USA; Boise, Idaho, USA; Boston, Massachusetts, USA; Charleston, South Carolina, USA; Chicago, Illinois, USA; Cleveland, Ohio, USA; Dallas, Texas, USA; Detroit, Michigan, USA; Houston, Texas, USA; Indianapolis, Indiana, USA; Kansas City, Missouri, USA; Las Vegas, Nevada, USA; Los Angeles, California, USA; Miami, Florida, USA; Milwaukee, Wisconsin, USA; Minneapolis, Minnesota, USA; Omaha, Nebraska, USA; Orlando, Florida, USA; Philadelphia, Pennsylvania, USA; Pittsburgh, Pennsylvania, USA; Portland, Oregon, USA; Salt Lake City, Utah, USA; San Francisco, California, USA; San Jose, California, USA; Seattle, Washington, USA; St.

Louis, Missouri, USA; Washington, District of Columbia, USA;

Work arrangement(s)

Fully Remote (works exclusively from home)

Your opportunity
At New Relic, we empower our customers with real-time insights to accelerate innovation.

Our observability tools provide deep visibility into various technologies and distributed systems, enabling software engineering teams to proactively address issues, optimize performance, and enhance their infrastructure.

Join our Cloud Platform team to develop state-of-the-art cloud platforms and services that securely process over 2 billion telemetry events per minute across multi-cloud environments.

We are seeking a Lead Software Engineer to spearhead our expansion into AI and ML technologies space, with a special focus on Generative AI.

This pivotal role involves developing innovative Generative AI solutions that generate dynamic content, automate decision-making, anomaly detection, and provide predictive analytics,and transforming how businesses interact with data.

You will also address complex challenges and shape technical strategies that enhance our platform and New Relic product portfolio and foster cross-team collaboration.

This position offers an exceptional opportunity to accelerate your career growth, enhance your technical and collaborative skills, and deepen your expertise in Generative AI and cloud technologies.

The ideal candidate will have robust experience in AI infrastructure, particularly in Generative AI, and a proven ability to address some of the most challenging and exciting issues in today's digital world.

What you'll do

Lead and drive Generative AI Initiatives within the Cloud Platform team, play a central role in identifying and developing generative AI projects that innovate content creation, enhance decision-making processes, and provide predictive analytics, revolutionizing data interaction across business landscapes.

Set and drive clear team objectives focused on impactful project outcomes, optimizing AI system architecture and infrastructure, and boosting developer productivity.

Lead through rigorous data analysis to deliver substantial improvements, crafting use cases and methodologies to evaluate and refine strategic approaches.

Drive the development of a comprehensive generative AI SDK, integrating Large Language Models like OpenAI and Google AI with popular programming languages such as Python, Java, c# etc., using platforms like AWS Bedrock or Azure Semantic Kernel or Google's Vertex AI.Own and drive extensive technical efforts across multiple teams, ensuring projects are executed seamlessly and meet high standards.

Mentor and support the professional development of engineers, and data engineers, enhancing the quality of engineering work and facilitating effective team integration.

Drive and lead creating AI Proof of Concepts and Minimum Viable Products (MVPs) and supporting multiple business domains and iterating on the MVP models.

This role not only demands deep technical expertise in AI and generative technologies but also strong leadership and strategic insight to guide and empower teams towards innovative solutions in the dynamic field of AI.

This role requires

6+ years of professional work experience in software development and/or operationsStrong strategic vision for the use of generative AI within the business context, identifying areas where it can provide competitive advantages or improve operational efficiencies.

Deep knowledge of generative models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Large Language Models (LLMs) like OpenAI's GPT series, BERT, and Transformer architectures.

This involves understanding their architecture, training methods, and applications.

Strong coding skills in Python, Java, or C#, with a solid grasp of AI-focused libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and other frameworks that support generative AI development.

Familiarity with cloud platforms that offer specific support for deploying and scaling generative models, such as Google's Vertex AI, Azure's AI tools, and AWS's Machine Learning services.

Skills in manipulating large datasets and generating synthetic data, which is crucial for training and fine-tuning generative models.
Experience in applying generative techniques in practical applications such as content creation, data augmentation, simulation, and anomaly detection.
Experience in applying generative techniques in practical applications such as content creation, data augmentation, simulation, and anomaly detection.

Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.

Proven years' experience creating AI Proof of Concepts and Minimum Viable Products (MVPs) and supporting multiple business domains
Bonus points if you have
Proven experience with recommender systems and ranking models that drive personalized user experiences.
Familiarity with AI accelerator architectures that enhance the performance of advanced algorithms.

Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock, and other machine learning technologies, with a focus on Generative AI and open-source AI frameworks.

Proven experience with recommender systems and ranking models that drive personalized user experiences.
Demonstrated leadership skills in guiding and developing technical teams towards achieving complex project goals.
Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day.

We celebrate our talented Relics' different backgrounds and abilities, and recognize the different paths they took to reach us – including nontraditional ones.

Their experiences and perspectives inspire us to make our products and company the best they can be.

We're looking for people who feel connected to our mission and values, not just candidates who check off all the boxes.

If you require a reasonable accommodation to complete any part of the application or recruiting process, please visit to submit your request.

We believe in empowering all Relics to achieve professional and business success through a flexible workforce model.

This model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid.

Our hiring process

Please note that visa sponsorship is not available for this position.

In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification.

Note:

Our stewardship of the data of thousands of customers' means that a criminal background check is required to join New Relic.

We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including, but not limited to, the San Francisco Fair Chance Ordinance.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers.

New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic.

New Relic is proud to be an equal opportunity employer. We foster a diverse, equitable, and inclusive environment, free from all types of discrimination, so our Relics can thrive. We hire people with different backgrounds, experiences, abilities and perspectives.

Candidates are evaluated based on qualifications, regardless of race, religion, ethnicity, national origin, sex, sexual orientation, gender expression or identity, age, disability, neurodiversity, veteran or marital status, political viewpoint, or other legally protected characteristics.

Review our Applicant Privacy Notice at .


Estimated Base Pay Range:
$ 174,000 - $ 218,000The pay range above represents a reasonable estimate of the salary for the listed position. This role is eligible for a corporate bonus plan. Pay within this range varies by work location and may also depend on job-related factors such as an applicant's skills, qualifications, and experience.

New Relic provides a variety of benefits for this role, including healthcare, dental, vision, parental leave and planning, mental health benefits, a 401(k) plan and match, flex time-off, 11 paid holidays, volunteer time off, and other competitive benefits designed to improve the lives of our employees.

Wage - midpoint

218,000

Wage - minimum

174,000

#LI-MM4 #LI-Remote

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