Walmart Software Engineer III – Conversational AI 

United States, California, Sunnyvale 

334071020

What you'll do...

We need solid engineers with the talent and expertise required to design, build, improve and evolve our capabilities in at least some of the following areas:

• Service oriented architecture in charge of exposing our NLU capabilities at scale, and enabling increasingly sophisticated model orchestration.
  • Since the service takes in traffic for a large set of Walmart customers (that is 80% of American households!), you will get to solve non trivial challenges in terms of service scalability and availability.
  • You will design and build the primitives to efficiently orchestrate model-serving microservices, taking into account their dependencies, and improving the
    combined
    latency and robustness of such microservices (e.g. fan out in parallel to N services for a single request, and reply with whichever gives the fastest answer).
  • You will also bake-in functionality which can drive improved machine learning modeling and experimental design, such as A/B testing.
• Model serving and operations
  • There is a constant tension between model improvements (more computations) and model serving latency. So, we are always in a quest of crunching more numbers, while preserving our SLAs, and controlling the operational costs.
  • You will guide our efforts to always find the best tradeoffs in terms of architecture, tooling (Tensorflow serving? / ONNYX? / Triton?) and infrastructure (CPU? / GPU?, GCP? / Azure?) for model serving – based on the latest model developments and product requirements.
  • In particular, you will drive principled and scientific load-testing efforts, to clearly identify the tradeoffs at hands, and tune/optimize the model-serving stack.
  • If interested, you will also get some opportunity to work on prompt engineering and agentic systems.
• Tooling, infrastructure and pipelines for reproducible workflow and models, enabling rapid innovation across the entire product lifecycle.
  • You will author and maintain pipelines that safely build and deploy models to production via continuous deployment.
  • You will achieve scalable and efficient resource management capabilities (cloud infrastructure).
  • You will provide robust and built-in diagnostics for quality control throughout.
  • You will integrate – or build – labeling tools which can seamlessly integrate at the heart of our conversation data store (GCP, BigQuery) and intertwine multiple labeling sources of various confidence levels.

Come at the right time, and you will have an enormous opportunity to make a massive impact on the design, architecture, and implementation of an innovative, mission critical product, used every day, by people you know, and which customers love.

As part of the emerging tech group, you will also have the additional opportunity of building demos, proof of concepts, creating white papers, writing blogs, etc.

Note that this is not a fully remote job, you are required to come to the office (currently at least 2 days a week).

Minimum Qualifications

• 4 years’ experience in software engineering or related area.
• Solid data skills, sound computer-science fundamentals, and strong programming experience.
• Deep hands-on technical expertise in full-stack development.
• Programming experience with at least one modern language with an efficient runtime, such as Scala, Java, C++, or C#.
• Experience with at least one relational database technology such as MySQL, PostgreSQL, Oracle, or MS SQL.
• Some level of fluency in Python (lingua-franca of our data-scientists).
• Understanding of the challenge of distributed data-processing at scale.
• Deal well with ambiguous/undefined problems; ability to think abstractly.
• Ability to take a project from scoping requirements through actual launch.
• A continuous drive to explore, improve, enhance, automate, and optimize systems and tools.
• Capacity to apply scientific analysis and mathematical modeling techniques to predict, measure and evaluate the consequences of designs and the ongoing success of our platform.
• Excellent oral and written communication skills.
• Bachelor’s degree or certification in Computer Science, Engineering, Mathematics, or any other related field.

Preferred Qualifications

• Large scale distributed systems experience, including scalability and fault tolerance.
• Experience taking a leading role in building complex data-driven software systems successfully delivered to customers
• Relentless focus on scalability, latency, performance robustness, and cost trade-offs – especially those present in highly virtualized, elastic, cloud-based environments.
• Exposure to cloud infrastructure, such as Open Stack, Azure, GCP, or AWS as well as infrastructure management tech (Docker, Kubernetes)
• Experience building/operating highly available systems of data extraction, ingestion, and massively parallel processing for large data sets. In particular experience in building large scale data pipelines using big data technologies (e.g. Spark / Kafka / Cassandra / Hadoop / Hive / BigQuery / Presto / Airflow).
• Hands-on expertise in many disparate technologies, typically ranging from front-end user interfaces through to back-end systems and all points in between.
• Familiarity with Machine Learning concepts & processes
• Masters or PhD in Computer Science, Physics, Engineering, Math, or equivalent.

Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.

For information about PTO, see

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

For information about benefits and eligibility, see

The annual salary range for this position is $117,000.00-$234,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: - Stock Minimum Qualifications...

Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 2 years’ experience in software engineering or related area.Option 2: 4 years’ experience in software engineering or related area.
Preferred Qualifications...

680 West California Avenue, Sunnyvale, CA 94086-4834, United States of America