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Senior Engineer I

AI Summary
CoreWeave is seeking a Senior Engineer I to build and operate large-scale data ingestion, storage, querying, and API services supporting AI/ML experiment tracking. The role focuses on distributed backend systems at petabyte scale, with emphasis on performance, reliability, scalability, security, and cost efficiency. The engineer will use Go, Python, TypeScript, Kubernetes, Terraform, cloud platforms, relational and analytical databases, and Kafka/PubSub. Responsibilities include production troubleshooting, cross-functional technical design, long-term architecture ownership, and mentoring junior engineers. This is a full-time remote role available anywhere in the United States, subject to export-control eligibility requirements.
Remote from
USA
Salary
USD 215k–254k / yr
Employment
Full Time
Experience
Senior
Published
Apply before
8 Dec 2026
Listing views
55
Application actions
3
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Opportunity details

About this role.

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

Job Title: Senior Engineer I
Employer: CoreWeave, Inc.
Location: 290 W Mt Pleasant Ave, Suite 4100, Livingston, NJ 07039.
Work Schedule: Full time; Mon – Fri (40 hours per week)
Ref # SKNJ.

Duties: Design, develop, and maintain large-scale data ingestion, storage, and querying systems
supporting AI/ML experiment tracking and analytics. Architect and optimize distributed systems
and backend services to improve performance, reliability, scalability, and cost-efficiency across
petabyte-scale datasets. Implement and enhance customer-facing APIs using modern
programming languages (e.g., Go, Python, TypeScript) and storage technologies such as
MySQL, Bigtable, ClickHouse, Postgres, and Kafka/PubSub. Build, deploy, and operate services
on Kubernetes-based infrastructure, using tools such as Terraform and major cloud platforms
(GCP, AWS, or Azure). Diagnose and resolve complex production issues related to distributed
systems, data pipelines, and storage/query performance. Collaborate with cross-functional teams
(product, revenue, and engineering) to define technical requirements, design system
architectures, and deliver new platform capabilities. Lead long-term architectural initiatives to
evolve metrics and storage infrastructure, ensuring secure, reliable, and cost-optimized operation.
Mentor junior engineers by providing technical guidance, code reviews, design feedback, and best
practices for high-quality software development.

Telecommuting permitted 100% of the time from anywhere in the U.S.

Export Control Compliance.This position requires access to export controlled information. To conform to U.S. Government
export regulations applicable to that information, applicant must either be (A) a U.S. person,
defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii)
refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the
export controlled information without a required export authorization, or (C) eligible and
reasonably likely to obtain the required export authorization from the applicable U.S. government
agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing
process.

Job Requirements: Bachelor’s / US or Foreign Equivalent in Computer Science, Computer
Engineering, Electrical Engineering, Software Engineering, or related STEM fields and five (5)
years of experience in the job offered or related role. Must have five (5) years of experience with:
Maintaining and deploying Go and Python code in live software systems; Maintaining and
adapting systems that use MySQL and Postgres; Deploying and optimizing distributed systems on
cloud platforms, such as GCP, AWS, Azure; Building and maintaining using Kubernetes and
Docker; Building, deploying, and developing new features and API (Rest or gRPC); and
Maintaining and adapting systems that use Kafka or Pubsub.

Salary: $215,000-$254,000 / year

The starting salary will be determined based on job-related knowledge, skills, experience, and
market location. We strive for both market alignment and internal equity when determining
compensation. In addition to base salary, our total rewards package includes a discretionary
bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine
actual compensation, we review the market rate for each candidate which can include a variety of
factors. These include qualifications, experience, interview performance, and location.
In addition to a competitive salary, we offer a variety of benefits to support your needs, including:
 Medical, dental, and vision insurance – 100% paid for by CoreWeave
 Company-paid Life Insurance
 Voluntary supplemental life insurance
 Short and long-term disability insurance
 Flexible Spending Account
 Health Savings Account
 Tuition Reimbursement
 Ability to Participate in Employee Stock Purchase Program (ESPP)
 Mental Wellness Benefits through Spring Health
 Family-Forming support provided by Carrot
 Paid Parental Leave
 Flexible, full-service childcare support with Kinside
 401(k) with a generous employer match
 Flexible PTO
 Catered lunch each day in our office and data center locations
 A casual work environment
 A work culture focused on innovative disruption

Qualified Applicants: Click “Apply” and follow directions to submit application

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include:

  • Medical, dental, and vision insurance – 100% paid for by CoreWeave
  • Company-paid Life Insurance
  • Voluntary supplemental life insurance
  • Short and long-term disability insurance
  • Flexible Spending Account
  • Health Savings Account
  • Tuition Reimbursement
  • Ability to Participate in Employee Stock Purchase Program (ESPP)
  • Mental Wellness Benefits through Spring Health
  • Family-Forming support provided by Carrot
  • Paid Parental Leave
  • Flexible, full-service childcare support with Kinside
  • 401(k) with a generous employer match
  • Flexible PTO
  • Catered lunch each day in our office and data center locations
  • A casual work environment
  • A work culture focused on innovative disruption

California Applicants

California Consumer Privacy Act

Equal Opportunity & Accommodations

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThis is a senior-level systems engineering role involving petabyte-scale data platforms, distributed-system reliability, and complex production performance challenges. It requires at least five years of directly relevant experience and technical leadership through architecture decisions and mentorship.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$234,500
US market range (per year)$200k–$280k
AI insightThe employer explicitly lists a base salary range of $215,000–$254,000 USD per year, with a midpoint of $234,500. The estimated US market range for a senior backend/distributed-systems engineer working on large-scale AI infrastructure is approximately $200,000–$280,000 USD per year; bonus and equity are excluded from these figures.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you design a data ingestion platform for petabyte-scale AI/ML experiment data?

I would separate ingestion, durable storage, metadata indexing, and query-serving concerns. I would use partitioned, schema-managed event streams, idempotent producers and consumers, scalable object or analytical storage, and observability for throughput, lag, errors, and cost. The design would include retention policies, backpressure handling, and clear SLOs for ingestion and query latency.

Describe how you would investigate an intermittent latency increase in a distributed query service.

I would first correlate the latency increase with traces, service metrics, database metrics, deployment events, traffic patterns, and resource saturation. I would isolate whether the bottleneck is in application logic, network calls, database queries, cache behavior, or Kubernetes resource contention. After validating the root cause, I would deploy a measured mitigation, monitor the outcome, and document preventive alerts or capacity changes.

What practices do you use to make Kafka-based pipelines reliable?

I use explicit delivery semantics, idempotent processing where possible, durable retry and dead-letter workflows, consumer lag monitoring, and carefully selected partitioning keys. I also define schema compatibility rules, test failure and replay paths, and ensure consumers can safely recover after restarts or duplicate events.

How do you approach database optimization for high-volume storage and query workloads?

I begin with the workload characteristics and inspect query plans, cardinality, indexes, partitioning, and storage layout. I then address the largest bottlenecks through query changes, appropriate indexes, data partitioning, caching, batching, or moving analytical workloads to a system better suited to them. I validate improvements with representative benchmarks and monitor performance regressions in production.

How do you mentor junior engineers while maintaining delivery velocity?

I provide timely code reviews that explain trade-offs, pair on difficult design or debugging work, and set clear ownership boundaries for progressively harder tasks. I use design documents and postmortems as teaching tools, while ensuring quality standards and operational expectations are explicit. This helps engineers build judgment without creating a dependency on constant oversight.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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