Software Engineer, ML Infra & Distributed Systems (Staff & Principal)

💰 $8,960 - $14,336 (Est.) 📍 Los Angeles

Job Description

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Leach International Corporation
Senior Software Engineer- DO178
Leach International Corporation · Buena Park, CA, United States · via LinkedIn
17 hours ago
$1.2L–$1.6L a year
Full–time
Apply on LinkedIn
Job highlights
Identified by Google from the original job post
Qualifications
Interface with DER and SQA for successful software release and certification
Bachelor’s Degree in Computer Science or Electrical Engineering from an accredited four-year university
Minimum of 5 years of experience performing embedded C software verification activities, specifically within an avionics or safety-critical environment
2 more items(s)
Benefits
Growth in the multi billion dollar parent organisation
Work responsibility will evolve over time as client projects differ, a chance to never be bored
Responsibilities
Software Engineer to verify embedded software in a collaborative small team with high visibility, growth within the larger business and both low/high voltage products
Work will be performed in accordance with project requirements, i.e., RTCA/DO-178 process
The Engineer will collaborate directly with design teams to conduct software testing and verification throughout the development lifecycle to ensure the product meets all qualification and certification requirements
8 more items(s)
Job description
We are looking for a Sr. Software Engineer to verify embedded software in a collaborative small team with high visibility, growth within the larger business and both low/high voltage products. Work will be performed in accordance with project requirements, i.e., RTCA/DO-178 process. The Engineer will collaborate directly with design teams to conduct software testing and verification throughout the development lifecycle to ensure the product meets all qualification and certification requirements.

What's in it for you as a Sr Software Engineer:
• High visibility role in a small team, own the full verification process
• Work with both high and low voltages
• Work hands on with hardware, gain experience doing this through the role
• Growth in the multi billion dollar parent organisation
• Work responsibility will evolve over time as client projects differ, a chance to never be bored

Primary Responsibilities as a Sr Software Engineer:
• Develop and execute verification plans in accordance with RTCA/DO-178C requirements.
• Conduct and document verification tests, compiling test data, and creating comprehensive test reports, including the Software Verification Report (SVR)
• Develop embedded software with structured architecture and good documentation
• Mentor junior team members on technical and process best practices.
• Interface with DER and SQA for successful software release and certification.

Basic Qualifications of the Sr Software Engineer:
• Bachelor’s Degree in Computer Science or Electrical Engineering from an accredited four-year university
• Minimum of 5 years of experience performing embedded C software verification activities, specifically within an avionics or safety-critical environment.
• professional experience in Python programming

Preferred Qualifications of the Sr Software Engineer:
• Successfully interface with DER and SQA stakeholders to support software release and certification.
• Proficiency in using LabVIEW and the ARM C Compiler for development and testing.
• Familiarity with the RTCA/DO-254 development process (or similar safety-critical hardware development standards).
• Practical experience and knowledge of the VHDL hardware description language.
• Strong foundation in both analog and digital design is desirable.
• Familiarity with High Power testing and instrumentation (e.g., 270 VDC and 115 VAC).

If you would like to have a confidential chat, please get in touch with Rabeel Imrane, [email protected], +162XXXXXX
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Leach International Corporation
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Tubi
Software Engineer, ML Infra & Distributed Systems (Staff & Principal)
Tubi · Los Angeles, CA, United States · via LinkedIn
17 hours ago
Full–time
Apply on LinkedIn
Apply on Jobright
Job highlights
Identified by Google from the original job post
Qualifications
Strong experience with AWS or an equivalent cloud platform
Experience building online microservices at scale with low latency serving
Experience with both SQL (e.g. Postgres) and NoSQL databases (e.g. Cassandra), message brokers (e.g
6 more items(s)
Benefits
This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, a 401(k) plan, paid time off and other benefits in accordance with applicable plan documents
High cost labor markets such as but not limited to Los Angeles, New York City, and San Francisco
$227,200—$417,000 USD
5 more items(s)
Responsibilities
As a Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference platforms
These platforms power essential services like personalized recommendations, search, and content understanding across Tubi
A core responsibility of this team is developing and maintaining low-latency ML model serving systems that support Deep Learning, LLM, and Search models
15 more items(s)
Job description
About the Role:

As a Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference platforms. These platforms power essential services like personalized recommendations, search, and content understanding across Tubi.

A core responsibility of this team is developing and maintaining low-latency ML model serving systems that support Deep Learning, LLM, and Search models. This involves building self-service infrastructure and critical components such as the inference engine, feature store, vector store, and experimentation engine.

You will improve the way we deploy and operate our services and even contribute to open-source projects. This role grants the architectural freedom to explore new frameworks, lead critical cross-functional projects, and transform the capabilities of our ML and Product teams.

We currently have multiple openings;
• Staff Software Engineer
• Principal Software Engineer
• Additional Details: As a Principal Engineer on the ML Infrastructure team, you will be a technical leader and visionary, driving the evolution of our machine learning platform. You will tackle the most complex and impactful technical challenges, shaping the architecture and technology choices that enable our ML capabilities to scale and deliver exceptional user experiences. You will be a key influencer, bridging the gap between engineering and product, and a mentor to senior engineers, fostering a culture of technical excellence and continuous improvement. Your work will be used by millions of users.

Responsibilities:
• Design and build scalable, high throughput, and low latency distributed systems using Scala
• Build reusable components and services that serve various ML applications like Personalization, Search, Ads and Exploration
• Partner closely with ML engineers to understand their challenges and limitations and develop scalable solutions to address them. Proactively recommend solutions to keep our ML Inference stack state of the art.
• Take a data driven approach to identifying & optimizing latency, cost, and efficiency of our infra. Lead large scale cross functional refactorings if necessary
• Mentor other engineers on the team on system design, effective incident management, interviewing, leveraging LLMs for work, etc.
• Collaborate with ML, Product, and cross functional engineering teams to define the long term vision and architecture for ML Infrastructure at Tubi.

💡 Quick Summary

Seeking a career-building opportunity? The Software Engineer, ML Infra & Distributed Systems (Staff & Principal) position is now open for candidates interested in the Software Developer Jobs sector. This role in Los Angeles offers a professional environment and growth potential.

Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.

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Job Details

Company Name: Tubi

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The expected salary for Software Engineer, ML Infra & Distributed Systems (Staff & Principal) in Los Angeles is $8,960 - $14,336 (Est.) per month. Actual compensation may vary based on experience and negotiation.
No, Software Engineer, ML Infra & Distributed Systems (Staff & Principal) is an on-site position based in Los Angeles. Candidates must be able to commute or relocate to this location.
Basic communication skills, a proactive attitude, and the ability to work in a team are required for Software Engineer, ML Infra & Distributed Systems (Staff & Principal). Previous experience in Software Developer Jobs is a plus. Freshers may also apply depending on the employer's requirements.
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