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Accelerated Software Development Program Jobs in Memphis, TN

Federal Express Corporation

Dev Ops Engineer III

Memphis, TN · Hybrid

$51.25 - $70.25/hr

Supports the organization in maturing the software development and delivery into a fully automated and service oriented. Encodes, tests, debugs, and documents associated scripts/programs. Resolves ...

Team Velocity

Development Manager

Memphis, TN · Remote

... software. Responsibilities * Lead, mentor, and grow a team of full-stack developers working ... Benefits include medical, dental, vision, unlimited paid leave, 401(k) matching, wellness programs ...

Danaher

Software Engineer Internships

Memphis, TN · On-site

Supporting the development of console and embedded software systems * Troubleshooting issues and ... accelerate the impact of innovation in diagnostics, life sciences, and biotechnology. Our global ...

Danaher

Software Engineer Internships

Southaven, MS · On-site

Supporting the development of console and embedded software systems * Troubleshooting issues and ... accelerate the impact of innovation in diagnostics, life sciences, and biotechnology. Our global ...

Danaher

Software Automation Internships

Memphis, TN

... accelerating therapeutics. What You Might Work On * Participating in Agile Scrum team activities and engineering sprints * Supporting the development and testing of DeltaV automation software

TransConnect Services

Senior Software Engineer

Memphis, TN · On-site +1

$109K - $144K/yr

Have 7+ years of hands-on backend software development experience in object-oriented design, and ... Gym reimbursement program. * Rewards driven wellness program with an individualized holistic ...

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All JobsAccelerated Software Development Program JobsAccelerated Software Development Program Jobs in Memphis, TN

Accelerated Software Development Program information

See Memphis, TN salary details

$77.2K

$138K

$173.4K

How much do accelerated software development program jobs pay per year?

As of Jun 21, 2026, the average yearly pay for accelerated software development program in Memphis, TN is $138,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $158,300.00 per year, depending on experience, location, and employer.

Which is better, CS or SE?

For a role in an Accelerated Software Development Program, both Computer Science (CS) and Software Engineering (SE) provide strong foundational knowledge; CS focuses on theoretical concepts and algorithms, while SE emphasizes practical application, design, and development processes. The choice depends on your career goals and preferred skill set, but both can lead to similar job opportunities in software development. Gaining experience with programming languages, tools, and project management is essential regardless of the specific degree or focus.

What is the difference between Accelerated Software Development Program vs Software Developer?

AspectAccelerated Software Development ProgramSoftware Developer
CredentialsTypically requires a bachelor’s degree in computer science or related field; may include certifications like Java or PythonRequires a bachelor’s degree in computer science or related field; certifications are optional
Work EnvironmentIntensive training environment, often within a company’s internship or training programFull-time employment in software development teams
Industry UsageUsed by companies to fast-track entry-level talentStandard role for software engineering positions

The Accelerated Software Development Program is a structured, intensive training pathway designed to fast-track individuals into software development roles, often within a company. In contrast, a Software Developer is a standard full-time role requiring similar credentials but without the accelerated training component. The program emphasizes rapid skill acquisition, while the developer role focuses on ongoing project work.

Will AI replace coders by 2040?

As an Accelerated Software Development Program participant, it is important to understand that AI is expected to augment rather than fully replace coders by 2040. AI tools can automate routine coding tasks, but human expertise remains essential for complex problem-solving, design, and oversight. Developing skills in AI integration and advanced programming will be valuable in this evolving environment.

What is L1, L2, L3, and L4 developer?

In the context of an Accelerated Software Development Program, L1, L2, L3, and L4 typically refer to different levels of software developers, with L1 being entry-level and L4 being senior or lead developers. These levels often indicate increasing experience, responsibility, and technical expertise, and may correspond to specific skills, certifications, or project roles within the program.

What engineers make $500,000?

Senior software engineers, especially those in high-demand fields like machine learning, cloud computing, or with extensive experience at major tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Achieving this level typically requires advanced skills, strong performance, and often working in competitive markets or leadership roles.
What are popular job titles related to Accelerated Software Development Program jobs in Memphis, TN? For Accelerated Software Development Program jobs in Memphis, TN, the most frequently searched job titles are:
What job categories do people searching Accelerated Software Development Program jobs in Memphis, TN look for? The top searched job categories for Accelerated Software Development Program jobs in Memphis, TN are:
What cities near Memphis, TN are hiring for Accelerated Software Development Program jobs? Cities near Memphis, TN with the most Accelerated Software Development Program job openings:
Accelerated Software Development Program jobs near you

Sr. Software Engineer (Data Center Automation)

xAI

Memphis, TN • On-site

Full-time

Posted 16 days ago

Job description

ABOUT xAI
xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
ABOUT THE ROLE:
We are seeking a highly skilled Sr. Software Engineer to join our team in managing and enhancing reliability across a multi-data center environment. This role focuses on automating processes, building and implementing robust observability solutions, and ensuring seamless operations for mission-critical AI infrastructure. The ideal candidate will combine strong coding abilities with hands-on data center experience to build scalable reliability services, optimize system performance, and minimize downtime-including close partnership with facility operations to address physical infrastructure impacts. If you thrive in lightning-fast, distributed environments and are passionate about leveraging automation to drive efficiency, this is an opportunity to make a significant impact on our infrastructure's resilience and scalability.
In an era where AI workloads demand near-zero downtime, this position plays a pivotal role in bridging software engineering principles with physical data center realities. By prioritizing automation and observability, team members in this role can reduce mean time to recovery (MTTR) by up to 50% through proactive monitoring and automated remediation, based on industry benchmarks from high-scale environments like those at hyperscale cloud providers.
The primary objective of this team is to mitigate downtime and minimize impact to end-users from both scheduled and unscheduled maintenance, as well as events affecting onsite data centers. This is achieved through proactive automation, robust observability, and integrated software-physical reliability strategies, ensuring our AI infrastructure remains resilient, scalable, and at the cutting edge of innovation.
RESPONSIBILITIES:
  • Design, develop, and deploy scalable code and services (primarily in Python and Rust, with flexibility for emerging languages) to automate reliability workflows, including monitoring, alerting, incident response, and infrastructure provisioning. We value adaptability to new tools and paradigms in the fast-evolving AI space.
  • Implement and maintain observability tools and practices, such as metrics collection, logging, tracing, and dashboards, to provide real-time insights into system health across multiple data centers-open to innovative stacks beyond traditional ones like ELK.
  • Collaborate with cross-functional teams-including software development, network engineering, site operations, and facility operations (critical facilities, mechanical/electrical teams, and data center infrastructure management)-to identify reliability bottlenecks, automate solutions for fault tolerance, disaster recovery, capacity planning, and physical/environmental risk mitigation (e.g., power redundancy, cooling efficiency, and environmental monitoring integration).This role encourages broad skill sets from diverse technical backgrounds to foster innovation.
  • Troubleshoot and resolve complex issues in data center environments, including hardware failures, environmental anomalies, software bugs, and network-related problems, while adhering to reliability principles like error budgets and SLAs.**Key Insight: By applying SWE rigor to troubleshooting, team members can create reusable diagnostic tools that accelerate resolution, turning unscheduled events (e.g., hardware faults) into opportunities for system hardening and reducing overall end-user impact through targeted SLAs that prioritize critical AI services. We seek versatile problem-solvers who adapt to bleeding-edge challenges.
  • Optimize Linux-based systems for performance, security, and reliability, including kernel tuning, container orchestration (e.g., Kubernetes or emerging alternatives), and scripting for automation.
  • Understand network topologies and concepts in large-scale, multi-data center environments to effectively troubleshoot connectivity, routing, redundancy, and performance issues; integrate observability into data center interconnects and facility-level controls for rapid diagnosis and automation.**Key Insight: In multi-site setups, network insights allow for automated failover mechanisms that handle both digital and physical disruptions, ensuring seamless continuity for end-users during events like fiber cuts or power outages. This attracts candidates from varied networking and systems backgrounds to drive forward-thinking solutions.
  • Participate in on-call rotations, post-incident reviews (blameless postmortems), and continuous improvement initiatives to enhance overall site reliability, including joint exercises with facility teams for physical failover and recovery scenarios. We prioritize growth-minded individuals who embrace evolving practices.
  • Mentor junior team members and document processes to foster a culture of automation, knowledge sharing, and adaptability to new technologies.
BASIC QUALIFICATIONS:
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a closely related technical field (or equivalent professional experience).
  • 3+ years of hands-on experience in site reliability engineering (SRE), infrastructure engineering, DevOps, or systems engineering, preferably supporting large-scale, distributed, or production environments.
  • Strong programming skills with proven production experience in Python (required for automation and tooling); experience with Rust or willingness to work in Rust is a plus, but strong coding fundamentals in at least one systems-level language (e.g., Python, Go, C++) are essential.
  • Solid experience with Linux systems administration, performance tuning, kernel-level understanding, and scripting/automation in production environments.
  • Practical knowledge of containerization and orchestration technologies, such as Docker and Kubernetes (or similar systems).
  • Experience implementing observability solutions, including metrics, logging, tracing, monitoring tools (e.g., Prometheus, Grafana, or alternatives), alerting, and dashboards.
  • Familiarity with troubleshooting complex issues in distributed systems, including software bugs, hardware failures, network problems, and environmental factors.
  • Understanding of networking fundamentals (TCP/IP, routing, redundancy, DNS) in large-scale or multi-site environments.
  • Experience participating in on-call rotations, incident response, post-incident reviews (blameless postmortems), and reliability practices such as error budgets or SLAs.
  • Ability to collaborate effectively with cross-functional teams (software engineers, network teams, site/facility operations, mechanical/electrical teams).
PREFERRED SKILLS AND EXPERIENCE:
  • 5+ years of experience in SRE or infrastructure roles, ideally in hyperscale, cloud, or AI/MLtraininginfrastructure environments with multi-data center setups.
  • Hands-on experience operating or scaling Kubernetes clusters (or equivalent orchestration) at large scale, including automation for provisioning, lifecycle management, and high-availability.
  • Proficiency in Rust for systems programming and performance-critical components.
  • Direct experience integrating software reliability tools with physical data center infrastructure (e.g., power, cooling, environmental monitoring, facility controls) and automating responses to physical events.
  • Exposure to advanced or innovative observability stacks beyond traditional tools (e.g., exploring cutting-edge alternatives for metrics, logs, and tracing).
  • Experience building automated remediation, fault tolerance, disaster recovery, capacity planning, or predictive failure detection systems.
  • Background in optimizing Linux-based systems for AI workloads, GPU clusters, or high-throughput compute environments.
  • Demonstrated success reducing downtime, MTTR, or improving resource efficiency (e.g., through automation or observability) in high-stakes production settings.
  • Prior work with bare-metal provisioning, data center interconnects, or hybrid/multi-site failover mechanisms.
  • Mentoring experience, strong documentation skills, and a track record of fostering knowledge sharing and automation culture.
  • Comfort with rapid technology adaptation in fast-evolving domains like AI infrastructure.

xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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