Software Engineer

Chalk

📍New York, NY
Posted May 20, 2026

Job Overview

Position

Software Engineer

Company

Chalk

Location

New York, NY

Work Type

On-site

Job ID

li-4406548495

Job Description

About Chalk
Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines Rust-speed performance with elegant tools that developers love to use. Leading companies depend on Chalk for everything from stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. We've recently raised a $50 million Series A, led by Felicis.

About The Role
We are hiring Software Engineers to join our team. This is an opportunity to join us in-person as an early employee and make a large impact at a high growth start-up. You will tackle challenging engineering problems with a high degree of autonomy and ownership.

We are looking for a software engineer with a strong background in systems engineering. At Chalk we are solving problems drawn from the fields of DBMS query planning & optimization, compilers, and distributed analytical data processing systems.

Chalk uses dynamic and static analysis of Python programs in order to optimize arbitrary user Python code, infers and orchestrates infrastructure implied by the structure of that code, and tracks metadata about flow of data through these systems.

*We're in the office 5 days a week. When unavoidable conflicts come up, we’re flexible. This is not a hybrid role.*
What You Will Do

  • Work directly with Chalk’s co-founders

  • Write Python and Rust

  • Design, implement, ship, and maintain significant components of our query planning and execution engine

  • Iterate rapidly to improve Chalk’s platform in response to customer needs

What We’re Looking For

  • 2+ years experience of professional backend software engineering experience

  • Strong working knowledge of computer science fundamentals. We’re not looking for experience from drilling leet code – we need folks who are comfortable building and maintaining real systems

  • Comfort with leading development of new components of existing systems, and with taking ownership of existing software

  • Track record of learning new concepts quickly

  • Ability to work autonomously & to make pragmatic tradeoffs with an eye towards business outcomes

  • Strong communication skills

  • Bachelor's degree in Computer Science or equivalent

Bonus points

  • Experience implementing data infrastructure

  • Experience with distributed systems/compilers/query planners

  • Experience with Rust

  • Experience with developing PaaS-like software

Benefits
⚕️Comprehensive medical, dental, and vision insurance

🏦 Flexible Spending Account (FSA), Health Savings Account (HSA)

🦮 Expert Healthcare Guidance

💵 Retirement savings

🎄15 company holidays each year

🏖️15 days of personal time off each year

🚌 Flex Commuter Benefits

🌮 Daily lunch and dinner on Chalk

🥤Office is fully-stocked with drinks and snacks to fuel your work day.

🍽️ Staying late? Dinner is on us

🚖 Staying even later? Grab an Uber / Lyft home on Chalk

Compensation
Chalk offers early team members a generous salary + equity package based on experience and competitive benefits.

Actual compensation awarded to successful candidates will be based on several factors, including but not limited to: market, location, scope of the position and individual qualifications objectively assessed during the interview process.

Our comprehensive total package plays a major role in how we recognize individuals for the impact they will have on Chalk’s growth and us achieving our goals.

Inclusivity
Chalk is an equal opportunity employer. We value diversity and inclusion and provide reasonable accommodations to anyone in need of individualized support.

Compensation Range: $170K - $280K

Interview Prep

AI-powered insights to help you prepare

Key Skills

Required:
Preferred:

Practice Questions

💡Technical Questions (3)
  • 1.How would you approach optimizing arbitrary user Python code for high-performance execution, and what role does static or dynamic analysis play in this process?
  • 2.Can you explain the key components of a query planning and execution engine, and what tradeoffs you consider when designing one for an analytical data processing system?
  • 3.Describe your experience bridging Python and Rust. How do you handle memory management and data transfer between the two languages efficiently?
🎯Behavioral Questions (3)
  • 1.Tell me about a time you took ownership of a significant, existing software component that was complex or unfamiliar. How did you approach learning it and improving it?
  • 2.Give an example of a time you had to make a pragmatic tradeoff between an ideal engineering solution and an urgent business outcome. How did you decide?
  • 3.Describe a situation where you had to learn a completely new technical concept or domain quickly to solve an engineering problem. What was your approach?
🧩Situational Questions (2)
  • 1.You are tasked with designing a new component for Chalk's query execution engine, but the co-founders have only provided a high-level goal with minimal specifications. How do you proceed?
  • 2.A customer reports that their ML feature pipeline is experiencing high latency during peak loads, but the issue is intermittent and hard to reproduce locally. How would you tackle this?

Resume Keywords

Make sure these keywords appear on your resume

RustPythonQuery PlanningDistributed SystemsData InfrastructureCompilersSystems EngineeringStatic AnalysisDynamic AnalysisAutonomyOptimizationPaaS

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