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Linkedin Software Engineer Jobs in Arizona (NOW HIRING)

CNH Industrial N.V.

AI Development Engineer

Tempe, AZ · On-site

$111K - $163K/yr

Start applying with LinkedIn Start * Please wait... About Us Innovation. Sustainability ... Generating software systems derived from various Machine Learning (ML) techniques to drive ...

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All JobsLinkedin Software Engineer JobsLinkedin Software Engineer Jobs in Arizona

Linkedin Software Engineer information

See Arizona salary details

$59.2K

$137.5K

$191.5K

How much do linkedin software engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for linkedin software engineer in Arizona is $137,475.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $161,200.00 per year, depending on experience, location, and employer.

What does a LinkedIn software engineer do?

A LinkedIn Software Engineer is responsible for designing, developing, testing, and maintaining software applications and systems that power LinkedIn’s platform. They work with large-scale distributed systems, collaborate with cross-functional teams, and focus on delivering features that improve user experience and platform reliability. Their role often involves writing efficient code, solving complex technical problems, and ensuring the performance and security of LinkedIn’s services. Software Engineers at LinkedIn may specialize in areas such as backend, frontend, data infrastructure, or machine learning.

What is the difference between Linkedin Software Engineer vs LinkedIn Data Scientist?

AspectLinkedin Software EngineerLinkedIn Data Scientist
Required CredentialsBachelor's or higher in CS, Software Engineering, or related fieldsBachelor's or higher in Data Science, Statistics, or related fields
Work EnvironmentDevelops software applications, collaborates on engineering projectsAnalyzes data, builds models, provides insights for product decisions
Employer & Industry UsageTech companies, social media platforms, software firmsTech companies, social media, analytics firms

Linkedin Software Engineers focus on building and maintaining software systems, while LinkedIn Data Scientists analyze data to inform product strategies. Both roles require technical skills and are integral to LinkedIn's operations, but they differ in daily tasks and expertise areas.

What are the key skills and qualifications needed to thrive as a LinkedIn software engineer, and why are they important?

To thrive as a LinkedIn Software Engineer, you need strong programming skills in languages like Java, C++, or Python, a solid grasp of computer science fundamentals, and typically a relevant degree in computer science or a related field. Familiarity with large-scale distributed systems, cloud platforms, version control tools like Git, and software development methodologies is essential, and certifications in cloud technologies can be advantageous. Excellent problem-solving abilities, effective communication, and a collaborative mindset help engineers stand out in this role. These skills ensure that engineers can efficiently build scalable, reliable products that meet LinkedIn's high standards and support collaboration in dynamic teams.

What are some common challenges faced by software engineers at LinkedIn, and how are they addressed?

Software Engineers at LinkedIn often work on large-scale, high-traffic systems, which can present challenges such as ensuring reliability, scalability, and security. Collaborating with cross-functional teams—like product managers, designers, and data scientists—is key to overcoming these challenges. LinkedIn fosters a supportive environment with regular code reviews, mentorship programs, and opportunities for professional development, helping engineers navigate complex technical problems and grow their skills.
What are popular job titles related to Linkedin Software Engineer jobs in Arizona? For Linkedin Software Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Linkedin Software Engineer jobs in Arizona look for? The top searched job categories for Linkedin Software Engineer jobs in Arizona are:
What cities in Arizona are hiring for Linkedin Software Engineer jobs? Cities in Arizona with the most Linkedin Software Engineer job openings:
Linkedin Software Engineer jobs near you
Infographic showing various Linkedin Software Engineer job openings in Arizona as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $137,475 per year, or $66.1 per hour.

Software Engineer, Data Infrastructure & Acquisition - Tempe, AZ, USA

Speechify

Tempe, AZ • On-site

$109K - $131K/yr

Full-time

Re-posted 7 days ago

Job description

The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You'll Do
  • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
  • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
  • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
  • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.

An Ideal Candidate Should Have
  • BS/MS/PhD in Computer Science or a related field.
  • 5+ years of industry experience in software development.
  • Proficiency with bash/Python scripting in Linux environments
  • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
  • Experience with web crawlers, large-scale data processing workflows is a plus
  • Ability to handle multiple tasks and adapt to changing priorities.
  • Strong communication skills, both written and verbal.

What we offer
  • A fast-growing environment where you can help shape the company and product.
  • An entrepreneurial-minded team that supports risk, intuition, and hustle.
  • A hands-off management approach so you can focus and do your best work.
  • An opportunity to make a big impact in a transformative industry.
  • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
  • Opportunity to work on a life-changing product that millions of people use.
  • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
  • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience
Think you're a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Apply